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Skill Evaluator

Evaluate Clawdbot skills for quality, reliability, and publish-readiness using a multi-framework rubric (ISO 25010, OpenSSF, Shneiderman, agent-specific heuristics). Use when asked to review, audit, evaluate, score, or assess a skill before publishing, or when checking skill quality. Runs automated structural checks and guides manual assessment across 25 criteria.

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Evaluate Clawdbot skills for quality, reliability, and publish-readiness using a multi-framework rubric (ISO 25010, OpenSSF, Shneiderman, agent-specific heuristics). Use when asked to review, audit, evaluate, score, or assess a skill before publishing, or when checking skill quality. Runs automated structural checks and guides manual assessment across 25 criteria.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, assets/EVAL-TEMPLATE.md, references/rubric.md, scripts/eval-skill.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 9 sections Open source page

Skill Evaluator

Evaluate skills across 25 criteria using a hybrid automated + manual approach.

1. Run automated checks

python3 scripts/eval-skill.py /path/to/skill python3 scripts/eval-skill.py /path/to/skill --json # machine-readable python3 scripts/eval-skill.py /path/to/skill --verbose # show all details Checks: file structure, frontmatter, description quality, script syntax, dependency audit, credential scan, env var documentation.

2. Manual assessment

Use the rubric at references/rubric.md to score 25 criteria across 8 categories (0โ€“4 each, 100 total). Each criterion has concrete descriptions per score level.

3. Write the evaluation

Copy assets/EVAL-TEMPLATE.md to the skill directory as EVAL.md. Fill in automated results + manual scores.

Evaluation Process

Run eval-skill.py โ€” get the automated structural score Read the skill's SKILL.md โ€” understand what it does Read/skim the scripts โ€” assess code quality, error handling, testability Score each manual criterion using references/rubric.md โ€” concrete criteria per level Prioritize findings as P0 (blocks publishing) / P1 (should fix) / P2 (nice to have) Write EVAL.md in the skill directory with scores + findings

Categories (8 categories, 25 criteria)

#CategorySource FrameworkCriteria1Functional SuitabilityISO 25010Completeness, Correctness, Appropriateness2ReliabilityISO 25010Fault Tolerance, Error Reporting, Recoverability3Performance / ContextISO 25010 + AgentToken Cost, Execution Efficiency4Usability โ€” AI AgentShneiderman, Gerhardt-PowalsLearnability, Consistency, Feedback, Error Prevention5Usability โ€” HumanTognazzini, NormanDiscoverability, Forgiveness6SecurityISO 25010 + OpenSSFCredentials, Input Validation, Data Safety7MaintainabilityISO 25010Modularity, Modifiability, Testability8Agent-SpecificNovelTrigger Precision, Progressive Disclosure, Composability, Idempotency, Escape Hatches

Interpreting Scores

RangeVerdictAction90โ€“100ExcellentPublish confidently80โ€“89GoodPublishable, note known issues70โ€“79AcceptableFix P0s before publishing60โ€“69Needs WorkFix P0+P1 before publishing<60Not ReadySignificant rework needed

Deeper Security Scanning

This evaluator covers security basics (credentials, input validation, data safety) but for thorough security audits of skills under development, consider SkillLens (npx skilllens scan <path>). It checks for exfiltration, code execution, persistence, privilege bypass, and prompt injection โ€” complementary to the quality focus here.

Dependencies

Python 3.6+ (for eval-skill.py) PyYAML (pip install pyyaml) โ€” for frontmatter parsing in automated checks

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
3 Docs1 Scripts
  • SKILL.md Primary doc
  • assets/EVAL-TEMPLATE.md Docs
  • references/rubric.md Docs
  • scripts/eval-skill.py Scripts