Borrowing it
Nothing to install: this file belongs to alexei-led/ccgram. 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/alexei-led/ccgram/main/.claude/skills/releasing/SKILL.mdgit clone --depth 1 https://github.com/alexei-led/ccgramWrote 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/alexei-led/ccgram/releasing)<a href="https://agentmods.dev/skills/alexei-led/ccgram/releasing"><img src="https://agentmods.dev/badge/skills/alexei-led/ccgram/releasing/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/skills/alexei-led/ccgram/releasing"><img src="https://agentmods.dev/badge/skills/alexei-led/ccgram/releasing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.01119 |
| Opus 5.5 | $0.00018 | $0.00448 |
| Sonnet 5.5 | $0.00009 | $0.00224 |
| Haiku 4.5 | $0.00005 | $0.00112 |
Grade A, and why
releasing 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.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Release
Tag and publish a new version with rich, narrative release notes.
Step 1: Pre-flight
Run in parallel:
git branch --show-current # Must be main
git status --porcelain # Must be clean
git log origin/main..HEAD --oneline # Must be empty (all pushed)
If any fail: report and stop.
Run make check — all must pass.
Step 2: Determine Version
Get the last tag:
git describe --tags --abbrev=0
Parse $ARGUMENTS:
- If a semver like
2.4.0→ use it directly - If
patch/minor/major→ bump the last tag accordingly - If empty → analyze commits since last tag to suggest:
featcommits → minor- Only
fix/docs/refactor→ patch - Breaking changes → major
- Present suggestion, ask user to confirm
The version is X.Y.Z (no v prefix in display). The git tag is vX.Y.Z.
Step 3: Generate CHANGELOG
git cliff --tag vX.Y.Z --output CHANGELOG.md
Step 4: Craft Release Notes
Read the FULL diff since the last tag to understand every change:
git diff <last-tag>..HEAD -- '*.py' '*.yml' '*.toml'
git log <last-tag>..HEAD --format="%H %s"
Also read any PR descriptions referenced in commits:
gh pr list --state merged --search "is:merged" --limit 20 --json number,title,body
Now write release notes following this structure and style (study existing releases for tone):
Style Rules
-
Lead with a theme headline — one sentence summarizing what this release is about
- Feature release:
## Shell Provider — Chat-First Shell Interface via Telegram - Bug fix release:
## Bug Fixes & Reliability - Mixed:
## Wrap Prompt Mode — Preserve Your Shell Prompt
- Feature release:
-
Explain WHY, not just WHAT — don't just list commit messages. Explain user-facing impact:
- Bad:
- Fix idempotent prompt markers - Good:
- **Idempotent prompt markers** — guards prevent duplicate marker injection on repeated setup (e.g., after exec bash or profile reload)
- Bad:
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 · 135 lines · 46 tokens per session scan A 4523bcc020c4
releasing is a skill published in the GitHub repository alexei-led/ccgram (280 stars, last pushed 2d ago), licensed MIT. It adds 46 tokens to every session and 1,119 once invoked, about $0.0002 per session on Opus 5.5. 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 skills, from other repositories
community
Use when building or running a persistent two-way community space — Discord, Telegram, Circle: platform choice, structure, onboarding, native→bot→human moderation, rituals, growth loops, health metrics. NOT churn of paying product customers (that is retention), NOT broadcast email (that is newsletter), NOT one live…
metagit-cli
CLI-only shortcuts for metagit agents — workspace catalog, discovery, prompts, sync, layout, and config. Use instead of MCP or HTTP API when operating from a shell or agentmode session.
autofix-pr
Watch a pull request and fix it from a worktree of its own - CI failures, review feedback from trusted authors and merge conflicts are fixed, pushed to the PR branch and answered on the PR under the user's git and gh identity. Usage - /autofix-pr [ | ] [--once] [--every ] [--no-reply] [--yes] [instructions]…
batch
Execute batch operations on multiple files in parallel. Automatically discovers files, splits into chunks, and processes with parallel worker agents. Use /batch followed by operation and file pattern. For many independent single-turn transforms (translate/rewrite/extract each file into a new file) that can wait…
batch-api
Prepare a many-file, single-turn transform (translate, rewrite, extract) as a plan and submit it to the asynchronous, half-price DashScope Batch API; results are delivered as new files hours later. Invoke explicitly with /batch-api.
repo-hygiene
Use when the scheduled repo-hygiene workflow runs from GitHub Actions (or an operator dry-run) to scan the repository for small, certain docs/test/code hygiene issues and fix them as one batched branch.