release

release is a command for Claude Code from OSideMedia/higgsfield-ai-prompt-skill. It costs 14 tokens per session (529 once invoked), scanned A, original, MIT.

A session-end hook that runs a JavaScript file with Node.js when the coding agent finishes a response.

In plain words
What is it for?
Use it to trigger the project's session-end script after the agent completes its work.
Why use it?
It provides a defined place for actions that should happen at the end of an agent session.

Command for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Good fit Use it to trigger the project's session-end script after the agent completes its work.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/osidemedia/higgsfield-ai-prompt-skill/release
Install

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.

Clone the repo
git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill

Made for: Claude Code.

Wrote 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.

agentmods badge for release

README.md
[![agentmods](https://agentmods.dev/badge/commands/osidemedia/higgsfield-ai-prompt-skill/release/github.svg)](https://agentmods.dev/commands/osidemedia/higgsfield-ai-prompt-skill/release)
Your own site
<a href="https://agentmods.dev/commands/osidemedia/higgsfield-ai-prompt-skill/release"><img src="https://agentmods.dev/badge/commands/osidemedia/higgsfield-ai-prompt-skill/release/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.

agentmods 80×15 button for release

Your own site · 80×15
<a href="https://agentmods.dev/commands/osidemedia/higgsfield-ai-prompt-skill/release"><img src="https://agentmods.dev/badge/commands/osidemedia/higgsfield-ai-prompt-skill/release.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 529 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00014 $0.00529
Opus 5 $0.00007 $0.00264
Sonnet 5 $0.00003 $0.00106
Haiku 4.5 $0.00001 $0.00053

Measured 10d ago against content hash b87df6c29a2a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

release 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.

.claude/commands/release.md · 22 lines

What it actually says

Walk through a release for version $ARGUMENTS (e.g. /release 2.1.0).

If no version argument is provided, check CHANGELOG.md for the latest version and ask what the new version should be.

Steps:

  1. Sanitize the version argument — before using $ARGUMENTS in any shell command, confirm it is a bare semantic version matching ^[0-9]+\.[0-9]+\.[0-9]+$ (e.g. 2.1.0). If it contains anything else (spaces, ;, backticks, quotes, path separators), STOP and ask the user for a clean version string — never interpolate an unvalidated argument into the git commit / git tag / gh release create shell snippets below.
  2. Release gate — run python3 scripts/validate.py --strict, python3 -m pytest tests/ -q, and python3 scripts/validate.py --evals. Stop if any of the three fails.
  3. Changelog check — confirm CHANGELOG.md has an entry for this version. If not, ask what to add.
  4. Regenerate the user guide + manifest — AFTER the frontmatter version/date are bumped: python3 scripts/generate_user_guide.py, then python3 scripts/validate_user_guide.py (manifest-fallback comparison; review any flagged drift), then python3 scripts/validate_user_guide.py --write-manifest and stage the refreshed docs/user-guide/MANIFEST.json. The PDF itself is a release artifact — it is git-ignored, never committed.
  5. Commit — stage and commit any pending changes with message: feat: v$ARGUMENTS — <summary from changelog>
  6. Tag — create git tag v$ARGUMENTS
  7. Push — push commit and tag: git push && git push --tags
  8. GitHub release — create release from the tag: gh release create v$ARGUMENTS --title "v$ARGUMENTS" --notes-file - using the changelog entry as notes.
  9. Attach the guidegh release upload v$ARGUMENTS docs/user-guide/USER-GUIDE.pdf so the PDF ships with the release instead of the git history.

Confirm with the user before each destructive/visible step (commit, push, release).

Changes

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.

  1. 10d ago First seen · 22 lines · 14 tokens per session scan A b87df6c29a2a

Subscribe to this mod's changes

release is a command published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (522 stars, last pushed 18d ago), licensed MIT. It adds 14 tokens to every session and 529 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.