pufferlib

Version-aware guidance for PufferLib reinforcement-learning environments, vectorization, policies, PuffeRL training, evaluation, and safe checkpoint review. Use when adapting Gymnasium/PettingZoo environments to published PufferLib 3.0.0 or working with the redesigned native 4.0 source line.

Quality

92%

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Securityby

Passed

No findings from the security scan

Quality

Content

92%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, highly actionable body that sequences risky workflows with validation checkpoints and pushes detail to verified reference files. Only minor conciseness tightening of inline version/time-sensitive artifacts is warranted.

Dimension	Reasoning	Score
Conciseness	Dense and largely lean, assuming Claude's competence without explaining basic RL/Gymnasium concepts, but carries some inline time-sensitive detail (sha256 digest, pinned commit hash) and a long safe-defaults enumeration that slightly exceed minimal.	4 / 5
Actionability	Copy-paste-ready commands and code throughout — env_contract_validator invocations with flags, uv pinning, puffer CLI calls, and real import snippets — covering the common cases concretely.	5 / 5
Workflow Clarity	Clearly sequenced workflows (validate contract → adapt after review → native; serial-then-multiprocessing vectorization; hash-before-load checkpoints) with explicit validation checkpoints and sandboxing feedback loops for risky native/checkpoint operations.	5 / 5
Progressive Disclosure	A focused overview pointing to five verified one-level-deep reference files and a bundled-files section listing scripts and references with one-line descriptions, giving clear navigation.	5 / 5
	Total	19 / 20 Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A precise, well-scoped description that clearly states capabilities and gives an explicit, version-aware 'Use when' trigger in third person. Only minor room for broader synonym coverage in trigger terms.

Dimension	Reasoning	Score
Specificity	Names the PufferLib RL domain plus multiple concrete capabilities — environments, vectorization, policies, PuffeRL training, evaluation, and checkpoint review — giving comprehensive coverage of the skill's actions.	5 / 5
Completeness	Explicitly answers both what (version-aware guidance across the listed subsystems) and when via the concrete 'Use when adapting Gymnasium/PettingZoo environments to published PufferLib 3.0.0 or working with the redesigned native 4.0 source line' trigger.	5 / 5
Trigger Term Quality	Strong natural keywords ('PufferLib', 'Gymnasium/PettingZoo environments', 'PufferLib 3.0.0', '4.0 source') that users would actually say, though a few broader synonyms or extension cues are absent.	4 / 5
Distinctiveness Conflict Risk	A clear PufferLib-specific niche with version-qualified triggers (3.0.0 vs 4.0 source) that are unlikely to fire for unrelated skills.	5 / 5
	Total	19 / 20 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: K-Dense-AI/scientific-agent-skills
Path: skills/pufferlib/SKILL.md
Commit: 1e5eeff

Reviewed: ~19 hours ago

Table of Contents

Discovery Implementation Validation

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