adapter-audit

adapter-audit is a skill for Claude Code, Codex from AllenS0104/skill-browser. It costs 40 tokens per session (839 once invoked), scanned A, original, MIT.

An audit tool for command-line adapters, which connect a larger application to individual content sources or services.

In plain words
What is it for?
Use it to scan many YAML, TypeScript, or JavaScript adapters, classify missing output fields, generate batch fixes, and prepare upstream pull requests.
Why use it?
It finds inconsistent or missing fields in adapter results, such as links, titles, authors, and dates.

Skill for Claude CodeCodex

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

Good fit Use it to scan many YAML, TypeScript, or JavaScript adapters, classify missing output fields, generate batch fixes, and prepare upstream pull requests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/allens0104/skill-browser/adapter-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 AllenS0104/skill-browser --skill adapter-audit
Clone the repo
git clone --depth 1 https://github.com/AllenS0104/skill-browser

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 adapter-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/allens0104/skill-browser/adapter-audit.svg)](https://agentmods.dev/skills/allens0104/skill-browser/adapter-audit)
Your own site
<a href="https://agentmods.dev/skills/allens0104/skill-browser/adapter-audit"><img src="https://agentmods.dev/badge/skills/allens0104/skill-browser/adapter-audit.svg" alt="Measured on agentmods" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 839 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 $0.00040 $0.00839
Opus 5 $0.00020 $0.00419
Sonnet 5 $0.00008 $0.00168
Haiku 4.5 $0.00004 $0.00084

Measured 8d ago against content hash 75f1e2356610, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

adapter-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 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.

skills/adapter-audit/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Adapter audit skill

Use this skill when you want to systematically audit and fix CLI adapter projects — for example, scanning all search adapters in opencli for missing url fields and batch-generating patches.

When to use

  • auditing adapter output schemas for missing fields (url, timestamp, thumbnail, etc.)
  • generating batch fixes across many adapters at once
  • preparing multi-file PRs to upstream projects
  • maintaining output consistency across a large adapter registry

Core workflow

1. Scan

Scan all adapters in the target project and classify each by:

  • adapter type (YAML declarative vs TS/JS coded)
  • which output fields are present
  • which standard fields are missing

Standard fields to check:

  • url — direct link to the content item
  • title — content title
  • author — creator/author name
  • timestamp / date — publish or capture time

2. Classify fix type

For each missing field, determine the fix strategy:

Situation Fix strategy
Field is computed internally but not in columns Add to columns list
Field is computed but stripped by a map step Pass through the map step + add to columns
Field is not computed but can be constructed from existing data Add construction logic + add to columns
Field requires external data not available in the API response Skip or mark as "needs upstream API change"

3. Fix

Apply fixes using the minimum change principle:

  • For YAML adapters: add field to return object + map step + columns array
  • For TS adapters: add field to return object + columns array
  • Never change existing fields or behavior
  • Only add new fields

4. Verify

After fixing, run the project's existing tests:

npm run build    # ensure TS compiles
npm test         # ensure nothing breaks

5. Submit

Create a single well-documented PR with:

  • clear title describing the scope
  • table showing before/after coverage
  • per-adapter fix type classification
  • risk assessment (should always be "additive only")

Read the full file on GitHub · 112 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. 8d ago First seen · 112 lines · 40 tokens per session scan A 75f1e2356610

Subscribe to this mod's changes

adapter-audit is a skill published in the GitHub repository AllenS0104/skill-browser (5 stars, last pushed 5mo ago), licensed MIT. It adds 40 tokens to every session and 839 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 2026-08-31.

Related

Other skills, from other repositories

github

Manages all git operations (commit, push, branch management, PR creation) in a standardized, safe, and consistent way. Automatically runs the code-review skill before any commit. Enforces Conventional Commits standard. Handles the full lifecycle: branch → review → commit → push → PR.

omergocmen/vibe-coder-kit · 60 tokens

architecture-review

Before committing to an implementation plan, run this skill to stress-test the proposed architecture. Catches over-engineering, circular dependencies, missing failure modes, security gaps, and scalability cliffs — before any code is written. Acts as a "second eye" on the plan.

omergocmen/vibe-coder-kit · 57 tokens

code-review

Systematic code review skill covering both requesting a review (pre-commit checklist) and receiving and responding to review feedback. Checks code quality, security, test coverage, architectural alignment, and documentation before any code is committed.

omergocmen/vibe-coder-kit · 47 tokens

anti-sycophancy

Rejects false validation; enforces objective critique, risk exposure, and constructive code alternatives. / TR: Yapay zekanın kullanıcı fikirlerini ve hatalı kod yönlendirmelerini körü körüne onaylamasını engeller. Yapıcı itiraz eder, riskleri gösterir ve doğru alternatifi sunar.

GktuOktay/ai-skills · 71 tokens

Git PR Reviewer

Pull Request (PR) creation and code review standards with constructive feedback and merge strategies. / TR: Pull Request (PR) oluşturma ve kod inceleme (code review) süreçleri için standartlar ve yapıcı geri bildirim.

GktuOktay/ai-skills · 51 tokens

code-orchestrator

Main orchestrator managing code architecture, refactoring, clean code principles, and adversarial code reviews. / TR: Kod yazma, güvenlik, eleştirel denetim, test ve mimari süreçlerini yöneten ana orkestratör.

GktuOktay/ai-skills · 57 tokens