fixing-docs

A controlled way to apply approved changes from a documentation audit. It updates documents through a validated plan instead of direct editing.

In plain words
What is it for?
Applying fixes for outdated or unverifiable information, duplicate or overly long content, merged documents, extracted sections, and retired documents.
Why use it?
It prevents unapproved or unexplained documentation changes and keeps each edit tied to an audit finding and reviewer approval.

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/aj604/toolshed/fixing-docs
Any agent
npx skills add aj604/toolshed --skill fixing-docs
Clone the repo
git clone --depth 1 https://github.com/aj604/toolshed

Made for: Claude Code, Codex.

Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,537 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 $0.00097 $0.04537
Opus 5 $0.00048 $0.02269
Sonnet 5 $0.00019 $0.00907
Haiku 4.5 $0.00010 $0.00454

Measured yesterday against content hash 3a4b6bec9a8a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fixing-docs 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 yesterday.

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.

plugins/doc-lifecycle/skills/fixing-docs/SKILL.md · 259 lines

How it starts

The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fixing Docs

Overview

A validated, current approval set is the only authority, and the applier is the only writer. One door lands every record type — drift and bloat alike — because after minting the flow is identical; the record's finding code is internal routing, not a different skill.

You never edit a document under audit. Not with Edit, not with Write, not with sed, not "just this one line". Every byte that lands is written by python3 -m doclifecycle apply-plan, from an edit plan bound to an approval set the engine validated against both the report and the repository.

Violating the letter of the flow is violating the spirit of the flow. The point is not ceremony: a diff produced any other way carries no proof of what authorized it, so a reviewer cannot tell an approved remedy from your opinion.

Contract (read it, do not restate it): ${CLAUDE_PLUGIN_ROOT}/engine/README.md, sections Approval sets and The applier. Run engine commands with the plugin's engine directory on PYTHONPATH.

REQUIRED SUB-SKILL: use writing-docs for any replacement text you must author yourself (a paragraph, a merged remainder) rather than place — the report's proposal already meets that bar and is placed byte-verbatim.

The flow — four steps, in order, every time

1. Mint the approval set

The input is one engine reportdrift-audit or bloat-audit output — plus the record digests a person selected from it. That selection is the semantic approval, and minting is what turns it into the artifact; the names alone are not it.

python3 -m doclifecycle mint-approval --report "${TMPDIR:-/tmp}/report.json" --repo . \
  --record <record digest> --minter <who approved> --out /tmp/approval.json

--record takes the record's digest, not its display id — the id is a label the report can renumber. Repeat it once per approved record. Write the artifact outside the work tree or to a git-ignored path; the engine refuses a tracked or would-be-tracked path, because a git add -A in the change it authorizes would commit the authority next to the diff.

Read the full file on GitHub · 259 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. yesterday First seen · 259 lines · 97 tokens per session scan A 3a4b6bec9a8a

Subscribe to this mod's changes

fixing-docs is a skill published in the GitHub repository aj604/toolshed (2 stars, last pushed 26d ago), licensed MIT. It adds 97 tokens to every session and 4,537 once invoked, about $0.0005 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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