stellar-raven: Skill for Codex

.agents/skills/audit-reviewability/SKILL.md

audit-reviewability is a skill for Codex from stellar-experimental/stellar-raven. It costs 76 tokens per session (1,465 once invoked), scanned A, original, Apache-2.0.

A review checklist and workflow for finding code, comments, documentation, tests, and instructions that make software harder for people to review. It can either report the problems or repair them.

In plain words
What is it for?
Use it to audit a repository or change set, classify review problems, remove unnecessary text, simplify code, and verify the result.
Why use it?
It reduces review effort caused by unclear writing, stale notes, redundant explanations, and temporary AI-generated material that no longer helps the project.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

This is stellar-experimental/stellar-raven's own configuration. It tells Codex how to work on stellar-raven itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything stellar-raven configures →

Reuse

Borrowing it

Nothing to install: this file belongs to stellar-experimental/stellar-raven. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/stellar-experimental/stellar-raven/main/.agents/skills/audit-reviewability/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/stellar-experimental/stellar-raven

Made for: 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 audit-reviewability

README.md
[![agentmods](https://agentmods.dev/badge/skills/stellar-experimental/stellar-raven/audit-reviewability/github.svg)](https://agentmods.dev/skills/stellar-experimental/stellar-raven/audit-reviewability)
Your own site
<a href="https://agentmods.dev/skills/stellar-experimental/stellar-raven/audit-reviewability"><img src="https://agentmods.dev/badge/skills/stellar-experimental/stellar-raven/audit-reviewability/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.

agentmods 80×15 button for audit-reviewability

Your own site · 80×15
<a href="https://agentmods.dev/skills/stellar-experimental/stellar-raven/audit-reviewability"><img src="https://agentmods.dev/badge/skills/stellar-experimental/stellar-raven/audit-reviewability.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,465 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.
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 $0.00076 $0.01465
Opus 5 $0.00038 $0.00732
Sonnet 5 $0.00015 $0.00293
Haiku 4.5 $0.00008 $0.00146

Measured 8d ago against content hash 885d3763586e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

audit-reviewability 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.

.agents/skills/audit-reviewability/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Audit reviewability

Protect the human attention budget. Judge each artifact by truth, durable value, and review cost. Judge the artifact without guessing whether a human or model wrote it.

Read references/audit-rubric.md completely before classifying candidates. For disputed rules or skill maintenance, read research/reviewability-audit-2026-08-18.md.

Choose the mode and scope

Infer the mode from the request:

  • Audit mode: Inspect and report. Keep the repository unchanged.
  • Repair mode: Audit, edit, and verify. Use this mode when the user asks to clean, fix, prune, simplify, or repair.

Resolve the narrowest complete scope from the request:

  1. Use the supplied fixed point for a change review.
  2. Otherwise, use the supplied files or directories.
  3. Otherwise, audit the repository when the request names the codebase.

State the selected mode, scope, and fixed point. Ask only when different choices would materially change the result.

Establish the baseline

  1. Read the applicable repository instructions and the nearest directory instructions.
  2. Inspect the worktree before editing. Record existing changes and preserve unrelated work.
  3. Read the product scope, architecture, style guides, generated-file rules, and compatibility policy that govern the target.
  4. Identify the repository's validation commands and current test baseline.
  5. Re-read a file immediately before editing it. Assume another human or agent can change it between turns.

Complete this step when the audit has an explicit truth source, compatibility posture, dirty-tree boundary, and verification plan.

Build the candidate inventory

Inspect every in-scope surface that can consume reviewer attention:

  • implementation code, names, types, branches, abstractions, and compatibility paths;
  • inline comments, docblocks, TODOs, and references from code;
  • READMEs, guides, plans, ADRs, changelogs, generated documents, and agent instructions;
  • tests, fixtures, snapshots, and assertions;
  • the change description and review replies when the user supplies them.

Read the full file on GitHub · 145 lines

Files

What ships with it

2 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.

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 · 145 lines · 76 tokens per session scan A 885d3763586e

Subscribe to this mod's changes

audit-reviewability is a skill published in the GitHub repository stellar-experimental/stellar-raven (6 stars, last pushed today), licensed Apache-2.0. It adds 76 tokens to every session and 1,465 once invoked, about $0.0004 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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