self-review

self-review is a skill for Claude Code, Codex from fredrikaverpil/dotfiles. It costs 0 tokens per session (12 once invoked), scanned A, original, MIT.

A self-review skill, but the available information only identifies its instruction file.

In plain words
What is it for?
There is not enough information to identify its concrete jobs.
Why use it?
There is not enough information to say what it reviews or what problem it removes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit There is not enough information to identify its concrete jobs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fredrikaverpil/dotfiles/self-review
Install

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.

Any agent
npx skills add fredrikaverpil/dotfiles --skill self-review
Clone the repo
git clone --depth 1 https://github.com/fredrikaverpil/dotfiles

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for self-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/fredrikaverpil/dotfiles/self-review.svg)](https://agentmods.dev/skills/fredrikaverpil/dotfiles/self-review)
Your own site
<a href="https://agentmods.dev/skills/fredrikaverpil/dotfiles/self-review"><img src="https://agentmods.dev/badge/skills/fredrikaverpil/dotfiles/self-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 12 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 1
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00012
Opus 5 $0.00000 $0.00006
Sonnet 5 $0.00000 $0.00002
Haiku 4.5 $0.00000 $0.00001

Measured 8d ago against content hash a7d3e27e476b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

self-review 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 8d 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.

stow/shared/.claude-work/skills/self-review/SKILL.md · 1 lines

What it actually says

../../../.claude/skills/self-review/SKILL.md

Changes

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.

  1. 8d ago First seen · 1 lines · 0 tokens per session scan A a7d3e27e476b

Subscribe to this mod's changes

self-review is a skill published in the GitHub repository fredrikaverpil/dotfiles (257 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 12 tokens. 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 2026-08-30.

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