compositional-audit

compositional-audit is a skill for Claude Code, Codex from cherninlab/ennodia. It costs 26 tokens per session (221 once invoked), scanned A, original, MIT.

A focused review method for breaking a large question, plan, or document set into smaller parts. Each part is reviewed independently before the findings are combined.

In plain words
What is it for?
Use it to audit one project area, compare several focused reviews, and identify risks supported by the available sources. It helps choose the smallest next action that reduces the most risk.
Why use it?
It reduces the risk that a broad review becomes shallow or misses the most important issue. It also keeps reviewers from making guesses outside their assigned evidence.

Skill for Claude CodeCodex

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

Good fit Use it to audit one project area, compare several focused reviews, and identify risks supported by the available sources. It helps choose the smallest next action that reduces the most risk.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cherninlab/ennodia/compositional-audit
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 cherninlab/ennodia --skill compositional-audit
Clone the repo
git clone --depth 1 https://github.com/cherninlab/ennodia

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 compositional-audit

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/cherninlab/ennodia/compositional-audit"><img src="https://agentmods.dev/badge/skills/cherninlab/ennodia/compositional-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 221 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 $0.00026 $0.00221
Opus 5.5 $0.00010 $0.00088
Sonnet 5.5 $0.00005 $0.00044
Haiku 4.5 $0.00003 $0.00022

Measured 1mo ago against content hash bbfd4c2bc416, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

compositional-audit 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.

skills/compositional-audit/SKILL.md · 28 lines

What it actually says

Compositional Audit

Use this when a large plan, implementation, document set, or product decision should be reviewed in small independent pieces before synthesis.

If you are reviewing one slice:

  • Stay inside the assigned slice and source list.
  • Do not re-audit the whole project unless the slice asks for it.
  • Separate source-backed facts from judgment.
  • Name the strongest risk first.
  • Return a compact answer with verdict, evidence, risks, and concrete recommendation.
  • Flag missing source access instead of filling gaps with guesses.
  • Keep the output short enough for a later Compare pass.

If you are synthesizing shard answers:

  • Preserve disagreements instead of flattening them.
  • Treat failed, empty, or access-limited shards as non-signal.
  • Prefer recommendations that are supported by more than one shard or by the strongest source evidence.
  • Name the smallest next action that would reduce the most risk.
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. 1mo ago First seen · 28 lines · 26 tokens per session scan A bbfd4c2bc416

Subscribe to this mod's changes

compositional-audit is a skill published in the GitHub repository cherninlab/ennodia (6 stars, last pushed 29d ago), licensed MIT. It adds 26 tokens to every session and 221 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.

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