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.
npx skills add igapyon/igapyon-agent-skills --skill igapyon-reviewergit clone --depth 1 https://github.com/igapyon/igapyon-agent-skillsWrote 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/skills/igapyon/igapyon-agent-skills/igapyon-reviewer)<a href="https://agentmods.dev/skills/igapyon/igapyon-agent-skills/igapyon-reviewer"><img src="https://agentmods.dev/badge/skills/igapyon/igapyon-agent-skills/igapyon-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/skills/igapyon/igapyon-agent-skills/igapyon-reviewer"><img src="https://agentmods.dev/badge/skills/igapyon/igapyon-agent-skills/igapyon-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 | $0.00141 | $0.01060 |
| Opus 5 | $0.00071 | $0.00530 |
| Sonnet 5 | $0.00028 | $0.00212 |
| Haiku 4.5 | $0.00014 | $0.00106 |
Grade A, and why
igapyon-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 12d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
igapyon-reviewer
This skill provides review-only guidance for software, repositories, articles, documentation, posts, GitHub text, README text, UI text, CLI text, and short messages.
Use this skill only when the user explicitly asks igapyon-reviewer to review
a separate target or asks to use igapyon's reviewer skill.
Do not activate this skill for ordinary requests such as "review this",
"proofread this", "rewrite this", "make this better", "check this code", or
"look at this repo" unless the user names igapyon-reviewer or explicitly asks
to use this reviewer skill.
Treat a bare mention, an existence question, or a request to explain, review,
audit, or update igapyon-reviewer itself as meta work. Handle that request in
the normal assistant voice without entering Review Mode. If the user asks
whether such a review skill exists, mention it as an available option, but do
not apply it until the user asks to use it on a separate review target.
Review Mode
This is a review skill, not an editing or maintenance skill.
During review mode:
- Do not edit files unless the user explicitly asks to switch from review to revision, implementation, or maintenance work.
- Lead with findings, risks, and concrete concerns.
- Order findings by severity.
- Distinguish confirmed problems from possible readings or residual risks.
- Provide targeted alternatives when useful, but do not rewrite the whole text unless asked.
Core Review Workflow
- Confirm the review target, intended audience, and requested review depth.
- Run safety and respect review first when the target contains public, semi-public, interpersonal, user-facing, or community-facing text.
- Select only the target- and timing-specific references that apply. Treat
entries marked conditional in
references/INDEX.mdas out of scope unless their condition is met. - Inspect the relevant artifact and collect evidence proportionate to the risk. Cite a file and line, command result, visible output, or other concrete basis for each confirmed finding.
- State what was not checked when missing access, evidence, or scope prevents a conclusion. Do not present an unrun check as verified.
- Consolidate selected review lenses into one final report using the output integration rules below and the consolidated report template.
What ships with it
31 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- index.json 7.3 KB
- references/00-start-here/project-convention-detection-review.md 7.7 KB
- references/10-perspectives/maintenance/refactoring-need-review.md 6.4 KB
- references/10-perspectives/privacy-and-secrets/secrets-and-credentials-review.md 3.5 KB
- references/10-perspectives/provenance-and-officialness/evidence-acquisition-review.md 8.2 KB
- references/10-perspectives/provenance-and-officialness/official-terminology-review.md 5.4 KB
- references/10-perspectives/provenance-and-officialness/public-url-link-review.md 6.7 KB
- references/10-perspectives/rights-and-licenses/rights-and-originality-review.md 18 KB
- references/10-perspectives/safety-and-respect/safety-and-respect-review.md 8.3 KB
- references/10-perspectives/writing/ai-text-naturalness-review.md 5.8 KB
- references/10-perspectives/writing/japanese-public-text-final-check.md 2.3 KB
- references/10-perspectives/writing/writing-style-review.md 4.4 KB
- references/20-targets/agent-skill/agent-skill-cli-integration-review.md 5.3 KB
- references/20-targets/agent-skill/agent-skill-review.md 22 KB
- references/20-targets/agent-skill/read-only-skill-content-format-review.md 5.8 KB
- references/20-targets/artifacts/archive-package-contents-review.md 7.0 KB
- references/20-targets/artifacts/generated-artifact-review.md 4.6 KB
- references/20-targets/cli/cli-tool-ux-review.md 5.8 KB
- references/20-targets/code/code-review.md 4.8 KB
- references/20-targets/docs-and-examples/cross-platform-path-shell-review.md 4.2 KB
- references/20-targets/docs-and-examples/example-quickstart-review.md 3.5 KB
- references/20-targets/markdown/markdown-structure-review.md 6.2 KB
- references/20-targets/repository/repository-entrypoint-review.md 10 KB
- references/20-targets/structured-data/json-agent-grepability-review.md 8.9 KB
- references/20-targets/structured-data/structured-data-library-review.md 6.7 KB
- references/20-targets/structured-data/xml-agent-grepability-review.md 5.5 KB
- references/30-timing/handoff/repository-work-handoff-review.md 9.4 KB
- references/30-timing/release/software-completion-review.md 17 KB
- references/30-timing/release/version-consistency-review.md 3.3 KB
- references/INDEX.md 7.9 KB
- references/templates/consolidated-review-report.md 2.8 KB
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.
- 12d ago First seen · 98 lines · 141 tokens per session scan A 39b594089b12
igapyon-reviewer is a skill published in the GitHub repository igapyon/igapyon-agent-skills (2 stars, last pushed today), licensed Apache-2.0. It adds 141 tokens to every session and 1,060 once invoked, about $0.0007 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 2026-08-31.
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