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.
git clone --depth 1 https://github.com/saeedkolivand/ai-job-hunter-appWrote 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/saeedkolivand/ai-job-hunter-app/prepare-release)<a href="https://agentmods.dev/commands/saeedkolivand/ai-job-hunter-app/prepare-release"><img src="https://agentmods.dev/badge/commands/saeedkolivand/ai-job-hunter-app/prepare-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.
<a href="https://agentmods.dev/commands/saeedkolivand/ai-job-hunter-app/prepare-release"><img src="https://agentmods.dev/badge/commands/saeedkolivand/ai-job-hunter-app/prepare-release.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 | $0.00020 | $0.00450 |
| Opus 5 | $0.00010 | $0.00225 |
| Sonnet 5 | $0.00004 | $0.00090 |
| Haiku 4.5 | $0.00002 | $0.00045 |
Grade A, and why
prepare-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 11d 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
Prepare release: $ARGUMENTS
- Load
deployment-rules+token-efficiency. - Bug-catch pre-flight over the release range (
git diff <last-release-tag>..HEAD) — no new engine, reuse existing pieces; HIGH/CRITICAL block the release, route each fix to the owning author → re-audit:- Green gate —
pnpm typecheck+pnpm test+cargo clippy/cargo test(apps/desktop/src-tauri) all pass. - Bug-focused critic pass — spawn the touched-domain critics over the range diff with a correctness/bug lens (not just the arch rubric).
- Impact sanity —
codegraph impact <changed-symbol>for changed public symbols → flag callers not updated in the range. - Over-engineering —
ponytail:ponytail-reviewover the range. - Correctness — the built-in
/code-review(code-review ultrais a user-triggered option for high-stakes releases).
- Green gate —
- Spawn the
project-stewardsubagent (Task) to verify release readiness:- Conventional commits since last release are well-formed (commitlint) and the implied bump (
feat→minor,fix/perf→patch,BREAKING CHANGE→minor while 0.x) is correct. - Version files are in sync (
scripts/sync-tauri-version.cjs) — a mismatch is CRITICAL. - Changelog/notes accurate; updater manifest (
latest.json) + signing integrity (defer the security lens totauri-security-reviewer).
- Conventional commits since last release are well-formed (commitlint) and the implied bump (
- Do NOT manually tag or bump — releases are manually dispatched (Actions → "🚀 Release"); semantic-release then derives the bump from the commit types. Nothing runs automatically on push to
main. Report blockers; fix commit/version issues via a PR.
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.
- 11d ago First seen · 20 lines · 20 tokens per session scan A 4f912622bb3f
prepare-release is a command published in the GitHub repository saeedkolivand/ai-job-hunter-app (54 stars, last pushed today), licensed Apache-2.0. It adds 20 tokens to every session and 450 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
rmslop
Check the diff against dev, and remove all AI generated slop introduced in this branch.
advanced-code-review-context
Advanced Code Review Phase 2: Context Analysis - load previous reviews, PR history, declined items.
review
Recent git commits: !git log --oneline -10.
check-pr
Check a PR's CI status, reviews, comments, and merge readiness.
extend
Capture a mid-PR sub-idea and implement it onto the current open PR's branch — no new branch, no new PR. Preserves Verify → Review → Deliver.
pr
Prepare GitHub Pull Request with essential details.