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/refactor-module)<a href="https://agentmods.dev/commands/saeedkolivand/ai-job-hunter-app/refactor-module"><img src="https://agentmods.dev/badge/commands/saeedkolivand/ai-job-hunter-app/refactor-module/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/refactor-module"><img src="https://agentmods.dev/badge/commands/saeedkolivand/ai-job-hunter-app/refactor-module.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 | $0.00014 | $0.00257 |
| Opus 5 | $0.00007 | $0.00129 |
| Sonnet 5 | $0.00003 | $0.00051 |
| Haiku 4.5 | $0.00001 | $0.00026 |
Grade A, and why
refactor-module 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.
What it actually says
Refactor: $ARGUMENTS
- Load
review-workflow+token-efficiency+ the area's standards skill. - Map the module with graphify (MCP
query_graph "<module>"+shortest_pathfor dependents, elsegraphify explain "<module>"/graphify path). Stop at ~90% confidence. - Characterize behavior — ensure tests pin current behavior before refactoring (
test-authoradds characterization tests if missing). - Refactor on a feature branch — behavior-preserving; respect layer boundaries (
rust-standards) and feature isolation (frontend-standards). No functional changes mixed in. - Review — Primary Owner of the area (+ Secondary on risk, ≤3 reviewers); HIGH/CRITICAL block. Watch for hidden behavior changes.
- Verify the full test suite is green pre/post; docs/lessons via
project-steward(architecture decisions → propose an ADR). - Open 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.
- 10d ago First seen · 15 lines · 14 tokens per session scan A 525d49366a45
refactor-module is a command published in the GitHub repository saeedkolivand/ai-job-hunter-app (54 stars, last pushed today), licensed Apache-2.0. It adds 14 tokens to every session and 257 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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