documenting-release

documenting-release is a skill for Claude Code, Codex from porcupine-md/jonggrang. It costs 20 tokens per session (451 once invoked), scanned A, original, MIT.

A release-documentation review process that compares code changes with project documents such as the README, architecture guide, and changelog. It checks whether those documents still describe the software accurately.

In plain words
What is it for?
Use it before release to audit and update README files, architecture documentation, changelogs, and contribution instructions.
Why use it?
It prevents documentation from becoming outdated after features, behavior, or infrastructure change.

Skill for Claude CodeCodex

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

Good fit Use it before release to audit and update README files, architecture documentation, changelogs, and contribution instructions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/porcupine-md/jonggrang/documenting-release
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 porcupine-md/jonggrang --skill documenting-release
Clone the repo
git clone --depth 1 https://github.com/porcupine-md/jonggrang

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 documenting-release

README.md
[![agentmods](https://agentmods.dev/badge/skills/porcupine-md/jonggrang/documenting-release.svg)](https://agentmods.dev/skills/porcupine-md/jonggrang/documenting-release)
Your own site
<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/documenting-release"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/documenting-release.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 451 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 $0.00020 $0.00451
Opus 5 $0.00010 $0.00226
Sonnet 5 $0.00004 $0.00090
Haiku 4.5 $0.00002 $0.00045

Measured 8d ago against content hash f9196f12e6ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

documenting-release 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/core/documenting-release/SKILL.md · 39 lines

What it actually says

Documenting Release

Role Constraints: Lead (Write/Bash access allowed). File Access: Do NOT use literal placeholders for file paths. Use the glob tool to search for the active feature directory under .jonggrang/.output/features/.

Objective

Ensure every documentation file in the project is accurate, up to date, and written in a friendly, user-forward voice before the feature is fully released.

Execution Steps

  1. Pre-flight & Diff Analysis:
    • Use bash to run git diff main...HEAD --stat (or the appropriate base branch) to understand what changed.
    • Classify changes into features, changed behavior, removals, and infrastructure.
  2. Per-File Documentation Audit:
    • Locate major documentation files (README.md, ARCHITECTURE.md, CHANGELOG.md, CONTRIBUTING.md) using glob.
    • Read each file and cross-reference it against the git diff.
  3. Apply Factual Updates:
    • Use the edit or write tool to make factual corrections directly (e.g., adding a command to a table, updating counts).
    • Use the bash tool if you need to run specific scripts that generate documentation.
  4. CHANGELOG Voice Polish:
    • If CHANGELOG.md exists, review the entry for the current feature.
    • Polish the wording to focus on user capabilities ("You can now...") rather than implementation details. Do NOT delete or regenerate existing entries, only refine them.
  5. Ask About Risky Changes:
    • If narrative changes, security model descriptions, or massive rewrites are needed, ask the user for confirmation before proceeding.
  6. Cross-Doc Consistency Check:
    • Ensure the README aligns with ARCHITECTURE and CHANGELOG. Fix any clear factual inconsistencies.

Completion Signal

When the documentation has been updated and verified, output exactly:

DOCUMENTATION_COMPLETE

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 · 39 lines · 20 tokens per session scan A f9196f12e6ba

Subscribe to this mod's changes

documenting-release is a skill published in the GitHub repository porcupine-md/jonggrang (11 stars, last pushed 12d ago), licensed MIT. It adds 20 tokens to every session and 451 once invoked, about $0.0001 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.