sagemaker-ai — 19 skills

Pinned source listing — machine-checked

What declarations and files are present in this pinned source?

Pinned source declarations and file hashes were listed.

Review

Machine-checked ·

Run UTC
Reviewed
Published
Updated

Observations · Limitations · Evidence

What we ran

Git blob acquisition followed by static source inspection.

What we saw

Listed 19 skill declarations. Ran 122 git commands; each one's exit status and output hash is in commands.json. Scope: acquisition and static inspection.

Limits

Scope: acquisition and static inspection. Command results: commands.json.

developer-tools · skills · Upstream source · Upstream documentation

Pinned source inspection only; no runtime platform was exercised. UTC 2026-10-19T15:16:14Z, tree aed1a74fffb6779e355242ed8d2739df1b0fa4c15955457b13497b15f0455abc.

No browser or computer-use tools. Pin this exact version; the stamp does not follow updates.

Full record
name
sagemaker-ai — 19 skills
slug
source-skills-33c6c2f9bcbcb34e60584a4c
type
skills
category
developer-tools
example
false
evidence state
pinned_source_listing
stamp
Pinned source listing — machine-checked
summary
Pinned source declarations and file hashes were listed.
outcome
Listed 19 skill declarations. Ran 122 git commands; each one's exit status and output hash is in commands.json. Scope: acquisition and static inspection.
rule results
["The retained source tree matches its acquisition manifest.","Declared skill names (listing.json): dataset-evaluation; dataset-transformation; directory-management; finetuning; finetuning-technique; hyperpod-cluster-debugger; hyperpod-issue-report; hyperpod-nccl; hyperpod-node-debugger; hyperpod-performance-debugger; hyperpod-slurm-debugger; hyperpod-ssm; hyperpod-version-checker; model-deployment; model-evaluation; model-selection; planning; sdk-getting-started; use-case-specification"]
task
What declarations and files are present in this pinned source?
setup
Git blob acquisition followed by static source inspection.
limitations
Scope: acquisition and static inspection. Command results: commands.json.
source url
https://github.com/awslabs/agent-plugins.git
documentation url
https://github.com/awslabs/agent-plugins.git
commit
097fe8ad56d8a1d5e2c81d7880adf145553cf244
tree sha256
aed1a74fffb6779e355242ed8d2739df1b0fa4c15955457b13497b15f0455abc
file sha256
{"plugins/sagemaker-ai/.claude-plugin/plugin.json":"e37dbce79fcc9082937720ab783db7529ea0c60464e7e5382dcec4f14810e540","plugins/sagemaker-ai/.codex-plugin/plugin.json":"595fa02e000abbf8970be11b06291e62d5a4bfee1764cc9952567fb263ddf468","plugins/sagemaker-ai/.mcp.json":"5d2fd050e13c1047dd2ee38021697b803a8c3c3635f0af7802a56d573f764806","plugins/sagemaker-ai/README.md":"88de4cf1cbe0f0c9e5a1ed9fe705247168e99a3403091b6e3a89c7dda322d866","plugins/sagemaker-ai/skills/dataset-evaluation/SKILL.md":"e1b1357b373ad8d23954af1702888acb4671eb5b124e54d32c3d2a9d776b017d","plugins/sagemaker-ai/skills/dataset-evaluation/references/custom-scorer-evaluation-dataset-formats.md":"aca967f5291b7815862743d3f462bd752d1cf788b42a99c4aa8f3d409adf6d3c","plugins/sagemaker-ai/skills/dataset-evaluation/references/strategy_data_requirements.md":"410dddcc6726b121acc4261e6e78e4a08e793cea4c0369b26641f8c9c3475acb","plugins/sagemaker-ai/skills/dataset-evaluation/scripts/format_detector.py":"ee8bd1511eda9bdd3e86047d7d48ea29f0ca9f5ada5e3881821ceb30b11be9c0","plugins/sagemaker-ai/skills/dataset-transformation/SKILL.md":"e41de7752b850af68a8cd3277da87ed663df2e59105ec72f313a261a0fda7ca1","plugins/sagemaker-ai/skills/dataset-transformation/code_templates/transformation.py":"e2acbe77193f7ef1c98bdde46e2839b8980789f9b0cd417cff4bb8eb77a5912a","plugins/sagemaker-ai/skills/dataset-transformation/references/code_output_guide.md":"ecd35c0dd6c4034f9d392ad23dcca9ab0ec84edc9a73b55031ba73b2384fdeb2","plugins/sagemaker-ai/skills/dataset-transformation/references/dataset_transformation_code.md":"4d41cf3915b57faa41837839463c837fef02474d0ac4e83005c283a3730ff110","plugins/sagemaker-ai/skills/dataset-transformation/references/sagemaker_dataset_formats.md":"dc90c5d83bf734f9d123cc3ff4f1e63474dd9723de9c1c466f948daae09f68f0","plugins/sagemaker-ai/skills/dataset-transformation/scripts/transformation_tools.py":"78ec3143c91b61dc3e12fd8e687eeeab8cf73d9eda8b18e875a0701f33bee2a1","plugins/sagemaker-ai/skills/directory-management/SKILL.md":"19c160fb3f804f73eb1500c317a936d4a976b7bc9546f01e1899545a834e2f78","plugins/sagemaker-ai/skills/finetuning-technique/SKILL.md":"6489b2a51eda0ceec2385482026145d15600d099588a99f102dd69dd3572e4dc","plugins/sagemaker-ai/skills/finetuning-technique/references/finetune_technique_selection_guide.md":"11eb4ef12aa80bfb2df7bb02b54685432417e481c67d0724edb7ff5ce3727a23","plugins/sagemaker-ai/skills/finetuning-technique/scripts/get_recipes.py":"7f4063688ee29b28e9639385805b8ebcfc8d44769aaadfb745b16fc60cae5e09","plugins/sagemaker-ai/skills/finetuning/SKILL.md":"02cacd845c065ab1a248ad2f2cabcdd0c7bd9de7e1da9b9c2b6bf17c1e6cf2dc","plugins/sagemaker-ai/skills/finetuning/code_templates/dpo.py":"41f60720037d295ccc9bc1e80fd37e275f56eafc2a2d382205240dd3b9d45fd8","plugins/sagemaker-ai/skills/finetuning/code_templates/rlaif_builtin.py":"b315cd12cf39841e98c4dd7587601c6d647909591ba226118c13dac5f23df130","plugins/sagemaker-ai/skills/finetuning/code_templates/rlaif_custom_prompt.py":"0225b518066fc56a12be3a681fc2e7b38c7bdfc388a05e9afc83c5001d40ef01","plugins/sagemaker-ai/skills/finetuning/code_templates/rlvr.py":"c10ebde431db97ea863923d3c1540273bb4aaa34cdc8f8fcb37d2ddaadcd293f","plugins/sagemaker-ai/skills/finetuning/code_templates/sft.py":"45a483cc2f68da844f0e71d342e6b28a2938cc77127b30f274e8ff9a15c2c399","plugins/sagemaker-ai/skills/finetuning/references/code_output_guide.md":"efbff6e900576d9b065e9274c7ed68dbf7a2763f665b0be6f2470bba242cd565","plugins/sagemaker-ai/skills/finetuning/references/continuous_customization.md":"3757a770e1e89614fca8b24d62a312df2c77647e9269bad7a25074136a07a87e","plugins/sagemaker-ai/skills/finetuning/references/eula_links.md":"a26bccb794b027c670bfa4753e3066b0f32483627315abbe2551ee2e844cef28","plugins/sagemaker-ai/skills/finetuning/references/rlaif_guide.md":"95b12bfaefae356788413b15ec23a85aefdd2f3871fc09442e8ef5179a18f3fb","plugins/sagemaker-ai/skills/finetuning/references/rlvr_reward_function.md":"7831d68cd31dd1260fb4894cde20119af250d840bb43484518f7875824b6df9c","plugins/sagemaker-ai/skills/finetuning/scripts/mlflow_reference.py":"db144579cfd092ef168e9deaf0645a828006b36cf974e0bacb3d1fd7cb2956e4","plugins/sagemaker-ai/skills/finetuning/templates/nova_rlvr_reward_function_source_template.py":"dad5e1603e247d7d4ab4423df3b18c7d2c88400436d4acec21d44bdcd5cb5001","plugins/sagemaker-ai/skills/finetuning/templates/rlvr_reward_function_source_template.py":"f81126b752db047297ffed71c0b3bab7ad545ecf7ff4cad95c76765908d35042","plugins/sagemaker-ai/skills/hyperpod-cluster-debugger/SKILL.md":"99020e64d2a8f2f97d762e46429599fc0816f066f63261df6fd90bc7466b4798","plugins/sagemaker-ai/skills/hyperpod-cluster-debugger/references/capacity-planning.md":"ee2de0ba7b3a89992ab4af5d91944adf3bf8e7554186abdc89f96f4ee9fe54b3","plugins/sagemaker-ai/skills/hyperpod-cluster-debugger/references/cloudformation-errors.md":"9bb8c60fbe5b11e73774c63d5ffe4199993082818b29c1606226bbbf3ae2aebc","plugins/sagemaker-ai/skills/hyperpod-cluster-debugger/references/cluster-diagnostics-detail.md":"f6cf04051c3f4fac642d9b1405ecb77fd97c7ac5378263d18b5a1dfc366ed336","plugins/sagemaker-ai/skills/hyperpod-cluster-debugger/references/cluster-operations.md":"c0a635a4256e230dcc7281e53a17fb236ddc33b93a315c4d85bdb94af0ee9a77","plugins/sagemaker-ai/skills/hyperpod-cluster-debugger/references/iam-permissions.md":"cbe646b61f2189d7f0c751d4210126045f183ee33415f71f62413c0d73ba65de","plugins/sagemaker-ai/skills/hyperpod-cluster-debugger/references/lifecycle-scripts.md":"4c50f65d0f869e32684238bd05e3bdc9f236c9c5afb8b1294fed0a101793ea39","plugins/sagemaker-ai/skills/hyperpod-cluster-debugger/scripts/diagnose-cluster.sh":"3a1cdd824abd39aa621f309b49afa5dc197fa906cc6e7948832c785f85b3ea5a","plugins/sagemaker-ai/skills/hyperpod-issue-report/SKILL.md":"03700baaf3e9e614d59bf29492cdf3699d1c01c337067d3c285c7162e01e99a3","plugins/sagemaker-ai/skills/hyperpod-issue-report/references/collection-details.md":"3cd2b0029c2f7c456bb61e93ff091ce366d662dcb86ef2d5780892aa66054aa3","plugins/sagemaker-ai/skills/hyperpod-issue-report/references/troubleshooting.md":"4760a6987f8149f77b6e6494ef5f090434bf28ff35e8397636150d167665d84e","plugins/sagemaker-ai/skills/hyperpod-issue-report/scripts/hyperpod_issue_report.py":"c62aef639e97f113ea7e9c25fb17a1b955711f2b24d805b8167aad1e95cf79ae","plugins/sagemaker-ai/skills/hyperpod-nccl/SKILL.md":"5dea8bd1f3ec4bb0cf172641e25b4253220c9904369de1c84d2250520b2bf2f5","plugins/sagemaker-ai/skills/hyperpod-nccl/references/debugging-guide.md":"abc17751df5391b8a901066ed8a474ae37b000bcfc7a583abbd83623c3bb46aa","plugins/sagemaker-ai/skills/hyperpod-nccl/references/error-patterns-quick-ref.md":"3bd4f5635a54400b4b85d4e7bfa9b5daf993e291068e2191e1adf29ccc4cb682","plugins/sagemaker-ai/skills/hyperpod-nccl/references/operations.md":"d05c8bf577305aa0e6497f92e367100dbcebe4d161c7598782d4bfd6437fcd07","plugins/sagemaker-ai/skills/hyperpod-nccl/references/performance-testing.md":"68c30d96674dca33818910c91e2be6bac50c5e3c550dfcaf5754e947afb39cb0","plugins/sagemaker-ai/skills/hyperpod-nccl/scripts/nccl-diagnose.sh":"db49d192b8749143c44b4580f98a6a545bdea3d2c7059615091ff019ba069259","plugins/sagemaker-ai/skills/hyperpod-node-debugger/SKILL.md":"b90a7e6747ee7663e3f2c1cdd4f378d450808d690c15c9bf522841ab779c97c9","plugins/sagemaker-ai/skills/hyperpod-node-debugger/references/node-diagnostics-detail.md":"1878944976eebae56a75a16fd1395a7bbabff0e86b46ae6d130a10a277d33b3a","plugins/sagemaker-ai/skills/hyperpod-node-debugger/references/node-issue-catalog.md":"39dc1f9551d265964b2b9064cff0eee438ef951fc2a4045d019b8c5e68bc22ae","plugins/sagemaker-ai/skills/hyperpod-node-debugger/scripts/check-efa-sg.sh":"5947a1b4feab1157afd0127c7a712faaf1afdd9a6d4680a2876fd7e0b1d301d7","plugins/sagemaker-ai/skills/hyperpod-node-debugger/scripts/check-node-reachability.sh":"9c30c2ac1deed02ea2fd3a7ca1032d9b141b1045a9ed7cefa8608d1976f995ee","plugins/sagemaker-ai/skills/hyperpod-node-debugger/scripts/check-vpc-config.sh":"d0a4c5a3edcf300c4f2e1823ee06e3ce7efdfd6fc35a7055ec1f3c4508a7f44a","plugins/sagemaker-ai/skills/hyperpod-node-debugger/scripts/triage-cluster.sh":"c13d6e56452b300ec015be3574634d87d2ab7bf78ebb712da875a04f5b201195","plugins/sagemaker-ai/skills/hyperpod-performance-debugger/SKILL.md":"5a32c6f8bc8dbe8d0ac132f25eca8f9c88965e6724a954723bed491d16e7f8bb","plugins/sagemaker-ai/skills/hyperpod-performance-debugger/references/perf-details.md":"051c79921567804f4394239a805e9157119cb58bf57c29aa386b5b9b93a53e67","plugins/sagemaker-ai/skills/hyperpod-performance-debugger/scripts/perf-snapshot.sh":"db0ebc396b95544cd634f8fdfaebabad524bea4a1c37ebd5cafe5a9a1a899b36","plugins/sagemaker-ai/skills/hyperpod-slurm-debugger/SKILL.md":"bd4c6b697fbc2462a6e168cd2820e81d79463e488c685ef1a605d770468cf71d","plugins/sagemaker-ai/skills/hyperpod-slurm-debugger/references/slurm-details.md":"1f9d6121a9630e3e0e25c36b7c5ae83c7dd11cf683fa3e2491bb1b016d0727a4","plugins/sagemaker-ai/skills/hyperpod-slurm-debugger/scripts/slurm-diagnose.sh":"4d491556ceab75d4da1d5b78b7e5cc499ff33d095307d188cc19f9de96bfd27e","plugins/sagemaker-ai/skills/hyperpod-ssm/SKILL.md":"3e57b678686d5864aca70624061e8dd211c12bcbb342055811b4361e46db47d3","plugins/sagemaker-ai/skills/hyperpod-ssm/references/troubleshooting.md":"43266c984d8f3b4ee66213c8526fad4b7e80b63aa6b3783bb77de8bc07c39ced","plugins/sagemaker-ai/skills/hyperpod-ssm/scripts/get-cluster-info.sh":"0fe320b7355c73ce510a5f3a716119857dd9ef6c32e07ea19434ddcd4ed95f36","plugins/sagemaker-ai/skills/hyperpod-ssm/scripts/list-nodes.sh":"07a384e0ce8a18703ed54fc83933be926c2b8613c07fd9141738ba0f8fe4b231","plugins/sagemaker-ai/skills/hyperpod-ssm/scripts/ssm-exec.sh":"96749329154dce0043e49ab4555376ca85917ea764fa79047ef8d28467ff1240","plugins/sagemaker-ai/skills/hyperpod-version-checker/SKILL.md":"ce22dec2382af8720e333172f99e08791eb592806f5639a7e0d417ba37a9bca0","plugins/sagemaker-ai/skills/hyperpod-version-checker/scripts/hyperpod_check_versions.sh":"5199257cf78126a4d886e989f9d9167e71dd60e21ec226805341007d62a69d90","plugins/sagemaker-ai/skills/model-deployment/SKILL.md":"f2778296c666d4045fa3f950186f39183cdb6388b26349859c0556b683a00143","plugins/sagemaker-ai/skills/model-deployment/code_templates/deploy-nova-bedrock.py":"cdb53dcac73c003c1a3d4c2e525270b6c412487e92c801eee97f4c65efffd85c","plugins/sagemaker-ai/skills/model-deployment/code_templates/deploy-nova-sagemaker.py":"197f39b6713adf6205cace2d6dd77cfe132a0e6ce9561c99e773ebfac0bcb4bf","plugins/sagemaker-ai/skills/model-deployment/code_templates/deploy-oss-bedrock.py":"498b3c7e017a293224bd26fea1953eda3699c716b99a7578dc2a888a24754465","plugins/sagemaker-ai/skills/model-deployment/code_templates/deploy-oss-sagemaker.py":"754499b8d03415f73421d03807da2a62c267e7f5ea3e7d451f40c5686df6eec6","plugins/sagemaker-ai/skills/model-deployment/references/code_output_guide.md":"efbff6e900576d9b065e9274c7ed68dbf7a2763f665b0be6f2470bba242cd565","plugins/sagemaker-ai/skills/model-deployment/references/deploy-nova-bedrock.md":"4696b7bec9fe45444e62e0f77888e0bb2ca268ec6705286dc70a98601af9f43f","plugins/sagemaker-ai/skills/model-deployment/references/deploy-nova-sagemaker.md":"fb3e3ee3169af07a816422f880fee8c1b12cf20044f7e8e2965526d44063d2c5","plugins/sagemaker-ai/skills/model-deployment/references/deploy-oss-bedrock.md":"61f91a072677341efe4670492a78f18a908012d53e195ee6274e353ad0b49477","plugins/sagemaker-ai/skills/model-deployment/references/deploy-oss-sagemaker.md":"9c8c2cf00eef92960d99a428a666776f6b714536afd5561f0b07059fa476f663","plugins/sagemaker-ai/skills/model-deployment/references/model-licenses.md":"1faee1e5b250498c1b8805467f677a6fe7a3429040f8362bd95ed65812a4d799","plugins/sagemaker-ai/skills/model-evaluation/SKILL.md":"66e66b73d1995ee55dcc997d2e8c92038202dac03b80a8adec522896ec588d41","plugins/sagemaker-ai/skills/model-evaluation/code_templates/custom_scorer_evaluator.py":"7991adc6d6b29d48d6e85ea94f507e2ec5412b56d5ec1027f58939e65fc4bbbc","plugins/sagemaker-ai/skills/model-evaluation/code_templates/llmaaj_evaluator.py":"5c24e900b6db820c6e9de5fe9c3d62cd53208f27965f3a6b8d01dceb4d41c780","plugins/sagemaker-ai/skills/model-evaluation/references/code_output_guide.md":"c87b2b4380306b0c7c9664a5e81ef4e3f5f090ff5746857b312d02d669ca142a","plugins/sagemaker-ai/skills/model-evaluation/references/create-reward-function.md":"b4839ba9e4dcaa2566a2bafc84b9888a4c2134e8408f651551dbc6b30f357848","plugins/sagemaker-ai/skills/model-evaluation/references/custom-lambda-scorer.md":"00231f83bfab67c6f49da58bfdf433768adb7787693fb9eb00f0881141a3fb6b","plugins/sagemaker-ai/skills/model-evaluation/references/custom-scorer-evaluation.md":"ff131cde2ee362e0df28f3ebac9e5399e09848007388aadb7b16794dd0ec4d13","plugins/sagemaker-ai/skills/model-evaluation/references/evaluation-type-guide.md":"4d129fb21e4441213927f6c3bd9156a92aa945bbd4d85e3118ff4ffa03d81c67","plugins/sagemaker-ai/skills/model-evaluation/references/llmaaj-builtin-evaluation.md":"26d658729a145b71bb35274311b7e2bc91335eaa0cb0358b614593bfd4d395bb","plugins/sagemaker-ai/skills/model-evaluation/references/llmaaj-custom-evaluation.md":"01833bb5fc9bcab13fa887cd78cf3344a9c5f40420ff5313654e07de6b2b3b0e","plugins/sagemaker-ai/skills/model-evaluation/references/llmaaj-evaluation.md":"0ae94f659ec602ed1d9f0a5c52ed4aa5abb58e4649ccbc7051d78d9c3fea5bed","plugins/sagemaker-ai/skills/model-evaluation/references/supported-judge-models.md":"8959efb554c8c7002e6f5fee10b715005fefb6928eedec40dea32901a7c002d5","plugins/sagemaker-ai/skills/model-evaluation/scripts/nova_reward_function_source_template.py":"82399ab559b4f40dacfa53da1ce36d522d378fa415a54da4ab5c7b6e78540273","plugins/sagemaker-ai/skills/model-evaluation/scripts/reward_function_source_template.py":"536d0bbf4eadbf26a26da83798c49cce2a0574ea1672b525e215173384c4b471","plugins/sagemaker-ai/skills/model-evaluation/scripts/validate_custom_metrics.py":"9002cfbbcbbfa03b2c01ef1d0497009cd884ec8bae6b35048e89948f6ad18d48","plugins/sagemaker-ai/skills/model-selection/SKILL.md":"04b6f97726333f41ba0a92659bfa44c236f93625b267858304b7bd29c1f0c4c0","plugins/sagemaker-ai/skills/model-selection/references/benchmarks/agenticIndex.md":"6fcb072b961c27ef9791c61eb92c0f39dcca43c446d9ff28f06f229c72e9c315","plugins/sagemaker-ai/skills/model-selection/references/benchmarks/codingIndex.md":"5d69962d19db151933cbccf183c486df9d5cbeb22880d0899d0ad1659df42290","plugins/sagemaker-ai/skills/model-selection/references/benchmarks/gpqa.md":"647f6bef3fb1a57bca16ccab2df87434b5e5bed0d35a871dd26adfd616220456","plugins/sagemaker-ai/skills/model-selection/references/benchmarks/hle.md":"95b3a8dccbb3288852c8610f848a6f5480cde43ef2a016303ded0c85fe271672","plugins/sagemaker-ai/skills/model-selection/references/benchmarks/ifbench.md":"e53b3224ec5a0697231b08fc35c001c58073a834e490200e20d7df087d8d1bba","plugins/sagemaker-ai/skills/model-selection/references/benchmarks/intelligenceIndex.md":"b546f7a815a2177e0825dd694218ee10b052174ade0b0701efa8c9fd8457426a","plugins/sagemaker-ai/skills/model-selection/references/benchmarks/mmmuPro.md":"1c509bbd3602b71f5af73e14d291b67c2952c20d78911e462846f828d548dd09","plugins/sagemaker-ai/skills/model-selection/references/benchmarks/tau2.md":"cea1ee338ac508b23f1d71037ad2b7a0e41cdaa694320625e59cea10a3f4087a","plugins/sagemaker-ai/skills/model-selection/references/model-licenses.md":"a26bccb794b027c670bfa4753e3066b0f32483627315abbe2551ee2e844cef28","plugins/sagemaker-ai/skills/model-selection/references/model-selection.md":"5279030a1bd3eafa106d94299eeb24c7655ca5a632d309c9f68fa094c0a17fc9","plugins/sagemaker-ai/skills/model-selection/scripts/get_model_names.py":"f20af973607b521897d4d43a5b5fdc895f163f5292b1a14813a32ab5499afb82","plugins/sagemaker-ai/skills/planning/SKILL.md":"b8bd4679c527d296523f0bd4d47ac632f6b2dd6169aefb40f940905921f8d3e1","plugins/sagemaker-ai/skills/planning/references/evaluate-first-plan.md":"d321e0ba18327b0d9e837bd53552520d094ab77ce251c6b0befbc5fc7c7f9dde","plugins/sagemaker-ai/skills/planning/references/input-output-contracts.md":"5112380b6b0dffaeb2d7474b3be9eda21388db03ebca3ae26569d38a78a6b43d","plugins/sagemaker-ai/skills/planning/references/model-customization-plan.md":"7fe19b68546dceeb7a4479b94b6eb2b597eb8bcc421c569a212c97f2b9de0b20","plugins/sagemaker-ai/skills/planning/references/skill-routing-constraints.md":"22cc7a2b3819542fb972a50bc0f6e19588b3e48bd91b0102e071c250754e1c1c","plugins/sagemaker-ai/skills/sdk-getting-started/SKILL.md":"d34d47f105e5c3afac8f13eb4868347afde301ab91156bf3baa170b52e4ace25","plugins/sagemaker-ai/skills/sdk-getting-started/references/execution-role-setup.md":"d7abae8181f33120dd13d264d4eae5bdfae730b1164b80fb169c5b76f715542e","plugins/sagemaker-ai/skills/sdk-getting-started/references/sagemaker-python-sdk-setup.md":"a6d0bf7b7ad30cf212b6dddbc1db39d4fed82602e51fb45abcf2d81279522212","plugins/sagemaker-ai/skills/use-case-specification/SKILL.md":"6eb2f6426e643ed41b74374c23be6950b7b83408a0d8529b635957664bce87ed"}
lockfiles
["LOCK.json"]
utc date
2026-10-19T15:16:14Z
source date
2026-10-16
discovered date
2026-10-16
retested date
2026-10-19
reviewed date
2026-10-19
published date
2026-10-19
modified date
2026-10-19
reviewer
Machine-checked
harness version
toolwitness harness at commit 11dde7217ae6f8e4ac4d18a6380b18ba01450122
claude code version
Not applicable: static source inspection (commands.json).
model id
Not applicable: static source inspection (commands.json).
scanner version
Not applicable: static source inspection.
rulepack version
Not applicable: static source inspection.
agents
[]
commands
["Ran 122 git commands; each one's exit status and output hash is in commands.json. Scope: acquisition and static inspection."]
prompt list
["Not applicable: static source inspection (commands.json)."]
history
["2026-10-19T15:16:14Z: pinned source inspection"]
application
{"applicationCategory":"DeveloperApplication","name":"sagemaker-ai — 19 skills","operatingSystem":"Not exercised","softwareVersion":"097fe8ad56d8a1d5e2c81d7880adf145553cf244"}
review input
{"claims":[{"field":"summary","id":"acquired","sources":["LOCK.json","listing.json","commands.json"],"text":"Pinned source declarations and file hashes were listed."},{"field":"outcome","id":"listed","sources":["LOCK.json","listing.json","commands.json"],"text":"Listed 19 skill declarations. Ran 122 git commands; each one's exit status and output hash is in commands.json. Scope: acquisition and static inspection."},{"field":"rule_results.0","id":"tree","sources":["LOCK.json","listing.json","commands.json"],"text":"The retained source tree matches its acquisition manifest."},{"field":"rule_results.1","id":"declared","sources":["LOCK.json","listing.json","commands.json"],"text":"Declared skill names (listing.json): dataset-evaluation; dataset-transformation; directory-management; finetuning; finetuning-technique; hyperpod-cluster-debugger; hyperpod-issue-report; hyperpod-nccl; hyperpod-node-debugger; hyperpod-performance-debugger; hyperpod-slurm-debugger; hyperpod-ssm; hyperpod-version-checker; model-deployment; model-evaluation; model-selection; planning; sdk-getting-started; use-case-specification"}],"evidence_sha256":{"LOCK.json":"5a54730d4e013166296111cd8e0e70177ea6135eecb702195c753a06547c0c7f","commands.json":"1e7c6cb789217371fbedfcdd3fc6ad46b398f95c685fc611b04dba340de4a0c3","complete.json":"91b504b43905fdc009504d516c45eea831f39a1995b9e7d69987c9756c936d6f","identity.json":"cc5fb9099c6bd01aba262e5fbb5da9eeb1684c5d9105684326b46bab10a3c0d9","listing.json":"151206d1154016a2b195043345a8cb46344445f7aea4a5f84d67bb8ccbb86ed8","selection.json":"0ee6cf5e2f4ac80ffc4bfc9e72e290a9fb8ed9071f6f87aa9ccbfb1f0280b786"},"identity_artifact":"identity.json"}
review
{"codex":"4c61949a83f349e003a7dd8389c33efa6c1c062ffdb54ca19b09bf2be27f3beb","date":"2026-10-19","gates":"474537e327227613f49f4a1024ee03ba28768da7329beaed65c2ca80a3480b3b","grok":"338c4ee311e3d799126da74c47e48dde6a9c350e1b1a6c861b5baf9960a6acc2","kind":"machine-checked","reviewed_sha256":"6e2f9d1a64d9003d2d4b44d2f259435c6bea203acaa9edce3b8646dd64a536a8","summary":"Deterministic gates passed; every claim rebuilt from evidence with a reviewed template; Grok reported no standing refutation."}

Downloadable evidence

transcript

Download complete transcript

Ran 122 git commands; each one's exit status and output hash is in commands.json. Scope: acquisition and static inspection.

sinkhole log

Download complete sinkhole log

Not applicable: static source inspection (commands.json).

canary log

Download complete canary log

Not applicable: static source inspection (commands.json).

scanner output

Download complete scanner output

Not applicable: static source inspection (commands.json).

normalized text

Download complete normalized text

{
  "listing": {
    "skills": [
      {
        "path": "plugins/sagemaker-ai/skills/dataset-evaluation/SKILL.md",
        "name": "dataset-evaluation",
        "description": "Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says \"is my dataset okay\", \"evaluate my data\", \"check my training data\", \"I have my own data\", or before starting any fine-tuning job. Detects file format, checks schema compliance against the selected model and technique, and reports whether the data is ready for training or evaluation.",
        "files": {
          "plugins/sagemaker-ai/skills/dataset-evaluation/SKILL.md": "e1b1357b373ad8d23954af1702888acb4671eb5b124e54d32c3d2a9d776b017d",
          "plugins/sagemaker-ai/skills/dataset-evaluation/references/custom-scorer-evaluation-dataset-formats.md": "aca967f5291b7815862743d3f462bd752d1cf788b42a99c4aa8f3d409adf6d3c",
          "plugins/sagemaker-ai/skills/dataset-evaluation/references/strategy_data_requirements.md": "410dddcc6726b121acc4261e6e78e4a08e793cea4c0369b26641f8c9c3475acb",
          "plugins/sagemaker-ai/skills/dataset-evaluation/scripts/format_detector.py": "ee8bd1511eda9bdd3e86047d7d48ea29f0ca9f5ada5e3881821ceb30b11be9c0"
        }
      },
      {
        "path": "plugins/sagemaker-ai/skills/dataset-transformation/SKILL.md",
        "name": "dataset-transformation",
        "description": "Generates code that transforms datasets between ML schemas for model training or evaluation. Use when the user says \"transform\", \"convert\", \"reformat\", \"change the format\", or when a dataset's schema needs to change to match the target format — always use this skill for format changes rather than writing inline transformation code. Supports OpenAI chat, SageMaker SFT/DPO/RLVR/RLAIF, HuggingFace preference, Bedrock Nova, VERL, and custom JSONL formats from local files or S3.",
        "files": {
          "plugins/sagemaker-ai/skills/dataset-transformation/SKILL.m

Excerpt shown; complete evidence is in the download.

Download full record JSON

Disclaimer

This record lists declarations and file hashes from a pinned source tree. Git command results from acquisition and static inspection are retained in commands.json. Scope: acquisition and static inspection. It is not a security or quality verdict. Changed bytes are outside this record.

Template placeholders refer to the snapshot metadata above.

Page updated