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.
npx agentmods add skills/lucassantana-dev/sharekit/changelog-updatenpx skills add LucasSantana-Dev/sharekit --skill changelog-updategit clone --depth 1 https://github.com/LucasSantana-Dev/sharekitWrote 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/skills/lucassantana-dev/sharekit/changelog-update)<a href="https://agentmods.dev/skills/lucassantana-dev/sharekit/changelog-update"><img src="https://agentmods.dev/badge/skills/lucassantana-dev/sharekit/changelog-update.svg" alt="Measured on agentmods" 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 | $0.00084 | $0.01843 |
| Opus 5 | $0.00042 | $0.00922 |
| Sonnet 5 | $0.00017 | $0.00369 |
| Haiku 4.5 | $0.00008 | $0.00184 |
Grade A, and why
changelog-update scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Changelog Update Skill
Automates the CHANGELOG.md maintenance cycle for Forge Space repos (and any project following Keep a Changelog format).
Scope note (2026-07-23): in release-please repos (the default), release-please owns changelog promotion, version bump, and tag via its release PR — do not run the promote flow there. This skill remains for repos without release-please configured, and
/pr-to-releasestill uses its append-only mode for[Unreleased]entries in those repos.
When to Use
- Cutting a new release (patch, minor, or major)
[Unreleased]has accumulated significant work- CHANGELOG is stale relative to git tags
- After merging a batch of PRs that should be versioned together
Workflow
Step 1 — Gather context
# Current state
REPO=$(git remote get-url origin | sed 's/.*github.com[:/]\(.*\)\.git/\1/')
CURRENT_VERSION=$(node -p "require('./package.json').version" 2>/dev/null || echo "unknown")
LATEST_TAG=$(git tag --sort=-version:refname | head -1)
UNRELEASED_COMMITS=$(git log ${LATEST_TAG}..main --oneline | wc -l | tr -d ' ')
echo "Package version: $CURRENT_VERSION"
echo "Latest tag: $LATEST_TAG"
echo "Commits since: $UNRELEASED_COMMITS"
# Check [Unreleased] section size
grep -c "^-\s" CHANGELOG.md && echo "bullet points in CHANGELOG"
# Check version alignment
head -5 CHANGELOG.md
Step 2 — Determine version bump type
Based on the commits since the last tag:
feat:orfeat!:present → minor (or major if breaking)- Only
fix:,chore:,docs:,test:,refactor:→ patch BREAKING CHANGEin body or!after type → major
# Auto-detect bump type from commits
git log ${LATEST_TAG}..main --format="%s" | python3 -c "
import sys, re
msgs = sys.stdin.readlines()
breaking = any('!' in m.split(':')[0] or 'BREAKING' in m for m in msgs)
has_feat = any(re.match(r'^feat[\(!:]', m) for m in msgs)
print('major' if breaking else 'minor' if has_feat else 'patch')
"
Step 3 — Compute new 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.
- 5d ago First seen · 232 lines · 84 tokens per session scan A 3f45b6e69254
changelog-update is a skill published in the GitHub repository LucasSantana-Dev/sharekit (1 stars, last pushed 5d ago), licensed MIT. It adds 84 tokens to every session and 1,843 once invoked, about $0.0004 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.
Other skills, from other repositories
release-expert
Multi-repo release coordination: version alignment, RC lifecycle, release waves, rollback planning. Use when saying "release", "version alignment", or "cut an RC".
agentplane-release-and-packaging-operator
Use when preparing, validating, publishing, auditing, or recovering an Agentplane release, especially package build ordering, version parity, npm/GitHub/GHCR/external distribution publication, public install smoke tests, hosted publish evidence, or release CI failures.
release
Prepare code for release (version bumps, changelog, README updates) and create an annotated tag to trigger the GoReleaser workflow.
release
Release Aigon — push to origin, cut a version+tag, or publish to npm. Wraps scripts/ship.js with CHANGELOG draft + dry-run preview. Triggers when the user types "/release", "/push", "/ship", or says "ship a release", "publish a beta", "cut a version", "push to origin", "release X to npm".
pypi-release
This skill should be used when releasing tunacode-cli to PyPI. It keeps the existing local release checks, then hands the actual PyPI upload to a GitHub Actions workflow that uses the repository's PYPIAPITOKEN secret.
ship
Ship phase. Runs isolated integration test in a fresh worktree, creates a PR with full spec + audit report in the body, watches CI, and auto-fixes failures.