Install
$ agentstack add skill-cryptofish7-claude-skills-skill-reviewer ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Skill Reviewer
Inventory all installed skills and agents, then deep-review selected ones for conciseness, clarity, overlap, and token efficiency.
Workflow
Phase 1: Build inventory
Scan all skill and agent locations. For each item, count lines in the main file and any reference files.
Locations:
- Global skills:
~/.claude/skills/*/SKILL.md+references/*.md - Global agents:
~/.claude/agents/*.md - Project skills:
.claude/skills/*/SKILL.md+references/*.md - Project agents:
.claude/agents/*.md
Build a table sorted by total lines (largest first):
| Scope | Name | Type | Main Lines | Ref Lines | Total |
|---------|------------------|-------|------------|-----------|-------|
| global | ci-cd-pipeline | skill | 120 | 45 | 165 |
| project | bug-bash-update | skill | 109 | 0 | 109 |
| global | debugger | agent | 98 | 0 | 98 |
Phase 2: Ask what to review
Present the table. Ask the user which items to deep-review. They can pick one, several, or "all".
Phase 3: Deep review
For each selected item, read the full content and analyze:
- Conciseness — Verbose sections, redundant instructions, unnecessary examples. Flag anything that could be shorter without losing meaning.
- Clarity — Ambiguous instructions, missing context, unclear phase transitions. Would another LLM session interpret this correctly?
- Scope overlap — Responsibilities duplicated with other skills/agents in the inventory. Note which items overlap and what to consolidate.
- Token efficiency — Estimate token count (words * 1.3). Flag sections that consume disproportionate tokens relative to their value.
- Structural consistency — Does it follow the same patterns (frontmatter, phases, guidelines) as other skills? Note deviations.
Phase 4: Present findings with rewrites
For each issue, show:
- Current text (quoted)
- Problem (one sentence)
- Suggested rewrite (the improved version)
After presenting all findings, ask the user which changes to apply. Then apply the approved edits.
Guidelines
- Be specific. "This section is verbose" is useless. "Lines 12-18 repeat the trigger list from the frontmatter" is actionable.
- Preserve intent. Compress prose, don't change behavior.
- Don't review this skill (skill-reviewer) unless explicitly asked.
- When estimating tokens, use the rough formula: word count * 1.3.
- If a skill has no issues worth flagging, say so briefly and move on.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: cryptofish7
- Source: cryptofish7/claude-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.