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/pjt222/agent-almanacWrote 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/pjt222/agent-almanac/skill-reviewer)<a href="https://agentmods.dev/agents/pjt222/agent-almanac/skill-reviewer"><img src="https://agentmods.dev/badge/agents/pjt222/agent-almanac/skill-reviewer/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/pjt222/agent-almanac/skill-reviewer"><img src="https://agentmods.dev/badge/agents/pjt222/agent-almanac/skill-reviewer.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 | $0.00027 | $0.01608 |
| Opus 5 | $0.00014 | $0.00804 |
| Sonnet 5 | $0.00005 | $0.00322 |
| Haiku 4.5 | $0.00003 | $0.00161 |
Grade A, and why
skill-reviewer 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Reviewer Agent
A specialized agent that reviews and improves SKILL.md files for compliance with the agentskills.io open standard. The skill reviewer validates frontmatter schemas, assesses content quality, refactors over-long skills using progressive disclosure, and verifies registry synchronization.
Purpose
This agent ensures every skill in the library meets the agentskills.io standard by performing structured reviews of SKILL.md files. It validates format compliance, identifies content gaps, and refactors skills that have grown beyond the 500-line limit. Unlike the code-reviewer (which reviews application code), the skill-reviewer operates exclusively on the skill specification layer — frontmatter, procedures, validation checklists, and cross-references.
Capabilities
- Format Validation: Verify YAML frontmatter fields, required sections, procedure step patterns, and line count limits
- Content Quality Assessment: Evaluate procedure clarity, Expected/On failure completeness, validation testability, and pitfall specificity
- Structural Refactoring: Extract bloated sections to
references/EXAMPLES.md, split compound procedures, reorganize for progressive disclosure - Registry Sync Checking: Verify skills are listed in
_registry.ymlwith correct domain, path, and metadata
Available Skills
Review
- review-skill-format: Validate a SKILL.md file against the agentskills.io standard checking frontmatter, sections, procedure format, line count, and registry sync
- update-skill-content: Improve an existing SKILL.md by refining procedures, expanding pitfalls, syncing related skills, and bumping the version
- refactor-skill-structure: Refactor an over-long or poorly structured SKILL.md by extracting examples, splitting procedures, and applying progressive disclosure
- evolve-skill-from-traces: Evolve SKILL.md files from agent execution traces using a three-stage pipeline (trace → diff → refine)
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.
- 5d ago First seen · 157 lines · 27 tokens per session scan A c26348fbca2b
skill-reviewer is an agent published in the GitHub repository pjt222/agent-almanac (32 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 1,608 once invoked, about $0.0001 per session on Opus 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 2026-09-03.
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