audit-scope

audit-scope is a skill for Claude Code, Codex from forefy/.context. It costs 35 tokens per session (2,187 once invoked), scanned A, original, MIT.

A method for defining the scope of a security audit from source-code repositories or API information. It produces a written scope and estimates the work in days.

In plain words
What is it for?
Use it to inspect repositories, count source lines with cloc, assess APIs and endpoints, explore project structure, and build an audit-sizing table.
Why use it?
It turns incomplete engagement details into a consistent view of what will be reviewed and how large the work is.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/forefy/.context/audit-scope
Any agent
npx skills add forefy/.context --skill audit-scope
Clone the repo
git clone --depth 1 https://github.com/forefy/.context

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 audit-scope

README.md
[![agentmods](https://agentmods.dev/badge/skills/forefy/.context/audit-scope.svg)](https://agentmods.dev/skills/forefy/.context/audit-scope)
Your own site
<a href="https://agentmods.dev/skills/forefy/.context/audit-scope"><img src="https://agentmods.dev/badge/skills/forefy/.context/audit-scope.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,187 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00035 $0.02187
Opus 5 $0.00017 $0.01094
Sonnet 5 $0.00007 $0.00437
Haiku 4.5 $0.00003 $0.00219

Measured 5d ago against content hash 1ebb8156f3e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

audit-scope 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.

skills/hunter-utils/audit-scope/SKILL.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Audit Scope Skill

Inputs

User provides one or more of:

  • GitHub repo URL(s)
  • API documentation / access description (no repo)
  • Named scope components (e.g. "also include the webhook service")

No report-days input needed - report writing is hardcoded (see Constants).

Constants (hardcoded, never ask user)

  • Report writing: always 1 day

Scope is measured in days. Do not attach monetary amounts to the output - days are the unit of measurement here.

Step-by-step execution

1. Ingest repos

For each GitHub repo URL provided:

  • Clone to /tmp/<repo-name>-audit via gh repo clone
  • Run cloc <repo> --quiet --not-match-f="(?i)(spec|test)" --not-match-d="(test|spec|__tests__|__mocks__)" --include-lang=TypeScript,JavaScript,Kotlin,Java,Go,Python,Rust,Solidity,HCL (exclude test/spec files and dirs, case-insensitive; adjust --include-lang for the repo's stack)
  • Record NSLOC per repo (source lines only - exclude test/spec files, Markdown, YAML, Gradle, shell)
  • Never estimate NSLOC manually - always run cloc

For API-only scope (no repo):

  • NSLOC = N/A
  • Estimate days from endpoint count and complexity description

2. Explore repo structure

Read enough to understand:

  • What the component does (SDK? API server? webhook handler?)
  • Core tech: cryptographic primitives, auth mechanisms, external dependencies
  • Language-specific security surface (JVM, Node, etc.)
  • Key files: entry point, signing/crypto logic, error handling, config/env

3. Identify discounts

Apply these automatically - do not ask user:

Condition Discount
Multiple repos audited back-to-back (streak) -0.5d lift-off discount
Multiple repos share same domain/features (similarity) -20-35% off affected component's days
Spec/rules doc in scope alongside backend that implements it -1-2d off backend (domain fluency pre-built)

Lift-off discount = negative row in table (streak saves ramp time). Similarity discount = bidirectional - applies whenever two components share significant overlapping attack surface, regardless of order. E.g. SDKs and backend sharing the same signing/API domain discount each other: SDKs get discounted because backend covers the server-side of the same flow; backend gets discounted because SDK work already mapped the signing trust boundary. Bake into the component day estimate directly (no separate row).

Read the full file on GitHub · 155 lines

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. 5d ago First seen · 155 lines · 35 tokens per session scan A 1ebb8156f3e2

Subscribe to this mod's changes

audit-scope is a skill published in the GitHub repository forefy/.context (144 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 2,187 once invoked, about $0.0002 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 2026-08-30.

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