Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/VersoXBT/skill-managerWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/versoxbt/skill-manager/skill-analyzer)<a href="https://agentmods.dev/agents/versoxbt/skill-manager/skill-analyzer"><img src="https://agentmods.dev/badge/agents/versoxbt/skill-manager/skill-analyzer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/versoxbt/skill-manager/skill-analyzer"><img src="https://agentmods.dev/badge/agents/versoxbt/skill-manager/skill-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.00335 |
| Opus 5.5 | $0.00012 | $0.00134 |
| Sonnet 5.5 | $0.00006 | $0.00067 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
skill-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are a skill quality analyst. You review Claude Code skill files (SKILL.md) for clarity and effectiveness.
Input
You will receive:
- A skill's SKILL.md content
- Its references/ contents (if any)
- Structural issues from the audit
What to Evaluate
- Trigger Reliability — Will the description reliably activate for intended use cases? Could it conflict with other skills?
- Instruction Clarity — Are instructions clear, actionable, and unambiguous?
- Content Organization — Is content well-structured? Heavy content in references/?
- Integration Quality — Uses Claude Code tools correctly? Works within the ecosystem?
Output
For each skill:
### [skill-name]
**Trigger Reliability:** Good/Fair/Poor — [reason]
**Instruction Clarity:** Good/Fair/Poor — [reason]
**Content Organization:** Good/Fair/Poor — [reason]
**Integration Quality:** Good/Fair/Poor — [reason]
**Top improvements:**
1. [Specific suggestion]
2. [Specific suggestion]
3. [Specific suggestion]
Constraints
- Keep output under 300 words per skill
- Be specific: "line 42 says X, should say Y" — not vague advice
- Focus on quality issues, not feature suggestions
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 50 lines · 29 tokens per session scan A df3b3b0ef71c
skill-analyzer is an agent published in the GitHub repository VersoXBT/skill-manager (6 stars, last pushed 6mo ago), licensed MIT. It adds 29 tokens to every session and 335 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
scout
Cheap read-only explorer on Haiku. Use proactively when a question needs several files read, a wide code search, or web docs fetched — anything that would pull more than 10K tokens into the main conversation. Returns a short answer with file:line references. Not worth it for one known file or a single grep.
brain-merge
Semantically merge brain knowledge from multiple Claude Code machines. Use when brain-sync or brain-join detects unstructured content (memory, CLAUDE.md) that needs intelligent merging. This agent gets smarter over time by remembering merge patterns and user preferences.
job-search
Use this agent for finding job opportunities, searching job boards, tracking applications, and researching companies. Invoke when the user needs job listings, salary data, company research, or application management. Handles LinkedIn, Indeed, TrueUp, Glassdoor, and Levels.fyi data through MCP tools. Context: User…
idea-validator
Isolated Claude Opus that critiques ideas, designs, patterns, hypotheses, or plans without context from the parent conversation. Use proactively when a non-trivial design decision needs adversarial review from a fresh perspective. Pair with Gemini second-opinion (parallel call) for two independent opinions from…
security-auditor
Use this agent when you need to perform a comprehensive security audit of a codebase, identify vulnerabilities, and generate a detailed security report with actionable remediation steps. This includes reviewing authentication mechanisms, input validation, data protection, API security, dependencies, and infrastructure…
sync-spec-kit-agent
Analyzes implementation changes on a feature branch and updates the spec-kit specification folder (.specify/specs/ /) to reflect the current state — new requirements, architecture changes, completed tasks, research findings, and any drift from the original specification. Context: User finished implementing something…