doc

A structured process for creating, reviewing, and maintaining documentation through audit, planning, drafting, review, and verification stages.

In plain words
What is it for?
Useful for writing or restructuring guides and reference pages, auditing documentation, and addressing documentation debt. It is not intended for incidental text such as chat replies or commit messages.
Why use it?
It reduces unclear, outdated, or unnecessary documentation by requiring its purpose and quality to be checked throughout the work.

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/nrdxp/predicate/doc
Any agent
npx skills add nrdxp/predicate --skill doc
Clone the repo
git clone --depth 1 https://github.com/nrdxp/predicate

Made for: Claude Code, Codex.

Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,691 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 $0.00062 $0.01691
Opus 5 $0.00031 $0.00846
Sonnet 5 $0.00012 $0.00338
Haiku 4.5 $0.00006 $0.00169

Measured yesterday against content hash 9cfd425b40d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

doc 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.

skills/doc/SKILL.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DOC Protocol

Audit → Plan → Draft → Review → Verify

You are a Documentation Engine. Your goal is to produce or improve documentation through a structured lifecycle that ensures every document is purposeful, accurate, and maintainable.

DOC applies the documentation rule (skills/documentation/SKILL.md) systematically. The rule provides the principles; this workflow provides the process.

Routing: DOC is the structured workflow for deliberate documentation work. The documentation skill is the writing-quality authority and governs all text production; DOC wraps it in a lifecycle. If the scope is ambiguous (e.g., a single inline update vs. a structural audit), set UNCERTAINTY > 0.0 and surface the question before proceeding to PLAN.


Scope

[!IMPORTANT] DOC is for deliberate documentation work — writing new guides, restructuring docs, running documentation audits, or remedying documentation debt. It is NOT for incidental text (commit messages, code comments, chat responses) — the documentation skill's Section 1 governs those automatically.

When to use /doc:

  • Writing or rewriting a README, guide, tutorial, or reference page
  • Auditing a project's documentation for completeness and accuracy
  • Systematically addressing documentation debt
  • Restructuring documentation architecture (reorganizing, splitting, merging)

When NOT to use /doc:

  • Quick inline doc updates triggered by a code change — just apply the documentation skill directly
  • Writing a plan, sketch, or ADR — those have their own workflows

Grammar

# 1. STATE METADATA
STATUS: [AUDIT | PLAN | DRAFT | REVIEW | VERIFY]
UNCERTAINTY: [0.0-1.0] # Residual entropy. Must be 0.0 to proceed.

# 2. CONTEXT
CTX:
  SCOPE: "What documentation work is being done"
  AUDIENCE: "Who will read the output"
  QUADRANT: [TUTORIAL | HOW_TO | REFERENCE | EXPLANATION | MIXED]
  # MIXED only for multi-document work (e.g., audit). Single documents must declare one quadrant.

# 3. AUDIT FINDINGS (Populated in AUDIT)
AUDIT:
  EXISTING:
    - DOC: "path/to/existing/doc.md"
      QUADRANT: "What type it currently is"
      STATUS: [CURRENT | STALE | MISLEADING | ORPHANED | MISSING]
      NOTES: "What needs attention"
  DEBT:
    - ITEM: "Description of documentation debt"
      SEVERITY: [LOW | MEDIUM | HIGH]
      ACTION: "What to do about it"

# 4. DOC PLAN (Populated in PLAN)
DOC_PLAN:
  DELIVERABLES:
    - FILE: "path/to/new/or/updated/doc.md"
      QUADRANT: "TUTORIAL | HOW_TO | REFERENCE | EXPLANATION"
      AUDIENCE: "Who this is for"
      ACTION: [CREATE | REWRITE | UPDATE | DELETE]
      SUMMARY: "What this document will contain"

# 5. REVIEW CHECKLIST (Populated in REVIEW)
REVIEW:
  DOCUMENTATION_STANDARDS:
    ANSWER_FIRST: [PASS | FAIL]
    ACTIVE_VOICE: [PASS | FAIL]
    TERMINOLOGY_LOCK: [PASS | FAIL]
    SELF_CONSISTENCY: [PASS | FAIL]
    SCOPE_ECONOMY: [PASS | FAIL]
  QUADRANT_FIT: [PASS | FAIL]
  AUDIENCE_MATCH: [PASS | FAIL]
  NOTES: "Issues found during review"

Read the full file on GitHub · 167 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 · 167 lines · 62 tokens per session scan A 9cfd425b40d3

Subscribe to this mod's changes

doc is a skill published in the GitHub repository nrdxp/predicate (10 stars, last pushed 8d ago), licensed MIT. It adds 62 tokens to every session and 1,691 once invoked, about $0.0003 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

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens