Borrowing it
Nothing to install: this file belongs to WaniWani-AI/sdk. 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/WaniWani-AI/sdk/main/.claude/commands/changelog.mdgit clone --depth 1 https://github.com/WaniWani-AI/sdkWrote 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/waniwani-ai/sdk/changelog)<a href="https://agentmods.dev/commands/waniwani-ai/sdk/changelog"><img src="https://agentmods.dev/badge/commands/waniwani-ai/sdk/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/waniwani-ai/sdk/changelog"><img src="https://agentmods.dev/badge/commands/waniwani-ai/sdk/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 | $0.00013 | $0.00432 |
| Opus 5 | $0.00006 | $0.00216 |
| Sonnet 5 | $0.00003 | $0.00086 |
| Haiku 4.5 | $0.00001 | $0.00043 |
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 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.
What it actually says
Generate a changelog summary for the Linear project specified in $ARGUMENTS.
Steps
- Fetch project details using
mcp__linear__get_projectwith the project name from $ARGUMENTS - Fetch all project issues using
mcp__linear__list_issuesfiltered by the project - Generate changelog with:
- Project name and status
- Summary of what was delivered (based on project description and completed issues)
- List of completed issues
- Business value / impact section
- Copy to clipboard using the
copyskill:- On macOS: pipe content to
pbcopy - On Linux: pipe content to
xclip -selection clipboard
- On macOS: pipe content to
- Confirm to the user that the changelog was copied to their clipboard
Changelog Format
Generate the changelog in this markdown format:
# [Project Name] - Changelog
**Status:** [Completed/In Progress/etc.]
**Date:** [Current Date]
## Summary
[Brief description of what the project achieved based on project description]
## What Was Delivered
- [Key deliverable 1]
- [Key deliverable 2]
...
## Completed Issues
| ID | Title |
| ------ | ----------- |
| WAN-XX | Issue title |
...
## Business Value
[Summarize the impact and value delivered based on the project scope and deliverables]
Copy to Clipboard
After generating the changelog, copy it to the clipboard:
macOS:
cat <<'EOF' | pbcopy
[changelog content]
EOF
Linux:
cat <<'EOF' | xclip -selection clipboard
[changelog content]
EOF
Then confirm: "Changelog copied to clipboard!"
Example Usage
/changelog-linear Conversation Monitoring
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 · 83 lines · 13 tokens per session scan A d4006e7383d5
changelog is a command published in the GitHub repository WaniWani-AI/sdk (17 stars, last pushed 3d ago), licensed MIT. It adds 13 tokens to every session and 432 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.
Other commands, from other repositories
release
Prepara e pubblica una nuova release del plugin mcp-legal-it. Bumpa la versione in tutti i manifest, aggiorna i changelog e la description con il conteggio tool corretto, crea il release branch, merge in main e tagga.
ship
Prepare a release — does not publish.
gsd:ship
Create PR, run review, and prepare for merge after verification passes.
gsd:complete-milestone
Archive completed milestone and prepare for next version.
land
Cadence-tick autonomous PR babysitter (CI-fix, resolve, converge, merge, close, release).
ship
Ship is the operational release-prep flow for a connected project repo.