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.
git clone --depth 1 https://github.com/TheBeardedBearSAS/claude-craftWrote 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.
[](https://agentmods.dev/commands/thebeardedbearsas/claude-craft/generate-changelog)<a href="https://agentmods.dev/commands/thebeardedbearsas/claude-craft/generate-changelog"><img src="https://agentmods.dev/badge/commands/thebeardedbearsas/claude-craft/generate-changelog/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/thebeardedbearsas/claude-craft/generate-changelog"><img src="https://agentmods.dev/badge/commands/thebeardedbearsas/claude-craft/generate-changelog.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00008 | $0.01719 |
| Opus 5 | $0.00004 | $0.00860 |
| Sonnet 5 | $0.00002 | $0.00344 |
| Haiku 4.5 | $0.00001 | $0.00172 |
Grade A, and why
generate-changelog 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Génération Automatique du Changelog
Tu es un assistant de documentation. Tu dois analyser les commits git et générer un changelog formaté selon les conventions Conventional Commits et Keep a Changelog.
Arguments
$ARGUMENTS
Arguments :
- Version cible (ex:
1.2.0) - Depuis (tag précédent, défaut: dernier tag)
Exemple : /common:generate-changelog 1.2.0 v1.1.0
MISSION
Étape 1 : Récupérer les Commits
# Identifier le dernier tag
LAST_TAG=$(git describe --tags --abbrev=0 2>/dev/null || echo "")
# Lister les commits depuis le dernier tag
if [ -z "$LAST_TAG" ]; then
git log --pretty=format:"%H|%s|%an|%ad" --date=short
else
git log ${LAST_TAG}..HEAD --pretty=format:"%H|%s|%an|%ad" --date=short
fi
Étape 2 : Parser les Commits (Conventional Commits)
Format attendu : type(scope): description
| Type | Catégorie Changelog |
|---|---|
| feat | Added |
| fix | Fixed |
| docs | Documentation |
| style | (ignoré) |
| refactor | Changed |
| perf | Performance |
| test | (ignoré) |
| chore | (ignoré) |
| build | Build |
| ci | (ignoré) |
| revert | Removed |
| BREAKING CHANGE | Breaking Changes |
Étape 3 : Analyser les PRs (si disponible)
# Récupérer les PRs mergées
gh pr list --state merged --base main --json number,title,labels,author
Étape 4 : Générer le Changelog
Format Keep a Changelog :
# Changelog
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [Unreleased]
## [{VERSION}] - {DATE}
### Breaking Changes
- **{scope}**: {description} ({author}) - #{PR}
### Added
- **{scope}**: {description} ({author}) - #{PR}
- **{scope}**: {description} ({author}) - #{PR}
### Changed
- **{scope}**: {description} ({author}) - #{PR}
### Deprecated
- **{scope}**: {description} ({author}) - #{PR}
### Removed
- **{scope}**: {description} ({author}) - #{PR}
### Fixed
- **{scope}**: {description} ({author}) - #{PR}
### Security
- **{scope}**: {description} ({author}) - #{PR}
### Performance
- **{scope}**: {description} ({author}) - #{PR}
## [{PREVIOUS_VERSION}] - {DATE}
...
[Unreleased]: https://github.com/{owner}/{repo}/compare/v{VERSION}...HEAD
[{VERSION}]: https://github.com/{owner}/{repo}/compare/v{PREVIOUS_VERSION}...v{VERSION}
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.
- 10d ago First seen · 238 lines · 8 tokens per session scan A dd9df941ccca
generate-changelog is a command published in the GitHub repository TheBeardedBearSAS/claude-craft (105 stars, last pushed 7d ago), licensed MIT. It adds 8 tokens to every session and 1,719 once invoked, about $0.0000 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.
Other commands, from other repositories
changelog
Generate a changelog entry from git commits since the last tag using conventional commit format.
auto-claude
Invoke Auto-Claude autonomous coding framework for complex feature implementation.
ship
Deliver completed work with validation and documentation.
release-manager
Automated release coordination and deployment with ruv-swarm orchestration for seamless version management, testing, and deployment across multiple packages.
release-swarm
Orchestrate complex software releases using AI swarms that handle everything from changelog generation to multi-platform deployment.
run-release
Orchestrate a tagged release using the release workflow.