Borrowing it
Nothing to install: this file belongs to talayash/agentrium. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/talayash/agentrium/master/.claude/commands/changelog.mdgit clone --depth 1 https://github.com/talayash/agentriumWrote 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/talayash/agentrium/changelog)<a href="https://agentmods.dev/commands/talayash/agentrium/changelog"><img src="https://agentmods.dev/badge/commands/talayash/agentrium/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/talayash/agentrium/changelog"><img src="https://agentmods.dev/badge/commands/talayash/agentrium/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 | $0.00000 | $0.00233 |
| Opus 5.5 | $0.00000 | $0.00093 |
| Sonnet 5.5 | $0.00000 | $0.00047 |
| Haiku 4.5 | $0.00000 | $0.00023 |
Grade A, and why
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 1mo 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.
What it actually says
Generate changelog
Generate a changelog for version $ARGUMENTS by analyzing git history.
Steps
- Find the previous version tag using
git describe --tags --abbrev=0 HEAD^orgit tag --sort=-version:refname - Get all commits since that tag:
git log {previous_tag}..HEAD --oneline - For each commit, read the message and categorize it
Categories
Group changes into these sections (omit empty sections):
- New Features - New functionality added
- Bug Fixes - Issues resolved
- Improvements - Enhancements to existing features
- Internal - Refactoring, dependency updates, CI changes
Output format
## What's New in v{VERSION}
### New Features
- Description of feature (#PR if available)
### Bug Fixes
- Description of fix (#PR if available)
### Improvements
- Description of improvement (#PR if available)
Present the changelog to the user for review. If they approve, offer to copy it for use in a GitHub Release description.
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.
- 1mo ago First seen · 36 lines · 0 tokens per session scan A 26b721cad648
changelog is a command published in the GitHub repository talayash/agentrium (46 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 233 tokens. 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.
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