Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Smart skill installation advisor for ClawHub. Searches for skills matching your needs, evaluates candidates on security (via skill-shield), code quality, and...
Smart skill installation advisor for ClawHub. Searches for skills matching your needs, evaluates candidates on security (via skill-shield), code quality, and...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
Find the right skill without the guesswork. Searches ClawHub, evaluates candidates on security + quality, and recommends the best one.
python3 scripts/evaluate.py "your search query" [options]
# Find a weather skill python3 scripts/evaluate.py "weather forecast" # Evaluate top 3 only, save reports python3 scripts/evaluate.py "image generation" --top 3 --output-dir ./reports # Use a specific skills workspace for clawhub python3 scripts/evaluate.py "security audit" --workdir /path/to/workspace
OptionDefaultDescription--top N5Number of candidates to evaluate--output-dir DIR(stdout)Save report.md and report.json to DIR--workdir DIR/tmp/skill-store-eval-*Working directory for clawhub install--scanner PATHauto-detectPath to skill-shield's scan.py--keep-allfalseDon't uninstall non-recommended candidates
Prints a Markdown comparison report to stdout. With --output-dir, also writes: report.md โ human-readable comparison report.json โ structured evaluation data
Searches ClawHub for skills matching your query Installs top N candidates into a temporary directory Runs skill-shield security scan on each candidate Evaluates code quality (lines of code, documentation, tests, structure) Scores and ranks candidates (security 40%, quality 30%, relevance 30%) Generates comparison report with recommendation Uninstalls non-recommended candidates (unless --keep-all)
DimensionWeightWhat's measuredSecurity40%skill-shield rating, findings count, permission auditQuality30%Code lines, SKILL.md completeness, README, testsRelevance30%clawhub search score (normalized)
clawhub CLI installed and authenticated skill-shield scan.py accessible (auto-detected from sibling directory or via --scanner) Python 3.8+
CodeMeaning0Recommendation made successfully1No candidates found or all evaluations failed
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