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/implement-feature)<a href="https://agentmods.dev/commands/saeedkolivand/ai-job-hunter-app/implement-feature"><img src="https://agentmods.dev/badge/commands/saeedkolivand/ai-job-hunter-app/implement-feature/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/implement-feature"><img src="https://agentmods.dev/badge/commands/saeedkolivand/ai-job-hunter-app/implement-feature.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 | $0.00022 | $0.00351 |
| Opus 5 | $0.00011 | $0.00176 |
| Sonnet 5 | $0.00004 | $0.00070 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
implement-feature 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 9d 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
Implement: $ARGUMENTS
Follow the review-workflow skill exactly:
- Load
review-workflow+token-efficiency+coding-standards. - Analyze — graphify/codegraph-scope affected files; identify the area's author + critic pair (Ownership precedence). Pre-harvest into
.claude/scratch/<task>.md. Stop at ~90% confidence. - Plan the minimal change (Rust-first for business logic; new IPC capability → the 5-file flow in
tauri-standards). - Implement — the domain author (loads
author-contract) makes minimal changes on a feature branch (PRs only — never push tomain); appends what changed to the handoff. - Test stage (if
touchesTestableLogic):test-authorwrites tests →testing-revieweraudits coverage of the changed code. - Review — the independent critic (never the author) audits (+ Secondary only on risk, ≤3 critics); HIGH/CRITICAL block → author resolves → re-audit.
- Verify correctness (
pnpm test/cargo test), performance & security where applicable. - Docs + lessons —
project-stewardsyncs affected docs/knowledge, runsgraphify update ., persists any durable lesson. - Open a PR (
gh pr create) and wait for approval.
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.
- 9d ago First seen · 19 lines · 22 tokens per session scan A 395ef0bb9303
implement-feature is a command published in the GitHub repository saeedkolivand/ai-job-hunter-app (54 stars, last pushed today), licensed Apache-2.0. It adds 22 tokens to every session and 351 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.
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