Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/AkbarDevop/ai-job-agentnpx agentmods add skills/akbardevop/ai-job-agent/job-statusWrote 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/akbardevop/ai-job-agent/job-status)<a href="https://agentmods.dev/skills/akbardevop/ai-job-agent/job-status"><img src="https://agentmods.dev/badge/skills/akbardevop/ai-job-agent/job-status/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/akbardevop/ai-job-agent/job-status"><img src="https://agentmods.dev/badge/skills/akbardevop/ai-job-agent/job-status.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 | $0.00134 | $0.01010 |
| Opus 5.5 | $0.00054 | $0.00404 |
| Sonnet 5.5 | $0.00027 | $0.00202 |
| Haiku 4.5 | $0.00013 | $0.00101 |
Grade A, and why
job-status 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Job Status
Wraps scripts/tracker-status-update.py. Shows a diff of what will change, asks for approval, then applies.
Repo location
Same as /job-apply: $AI_JOB_AGENT_ROOT → ~/.claude/skills/ai-job-agent/ → REPO_PATH marker file → ~/ai-job-agent/.
Input JSON format
Each item in the array:
{
"sheet_row": 42,
"company": "Acme Corp",
"role": "Software Intern",
"location": "Remote",
"status": "Rejected",
"note": "Auto-rejection email received 2026-04-22"
}
sheet_rowis required for the Google Sheet update (1-indexed, matching the sheet's row number — row 1 is the header, so data starts at row 2).company+role(+ optionallocation) are used to match the local CSV row.statusis free-text, but the sheet filter typically expects:Applied,Interview,Offer,Rejected,Withdrawn.noteappends to existing notes; skipped if empty or already present.
Workflow
1. Load and validate
Read $ARGUMENTS (path to JSON file). Parse. If invalid JSON or missing required fields, stop with an error message listing which rows are malformed.
2. Fetch current state
Render a before/after table showing what will change. For the sheet side, the script itself fetches rows internally — you can surface what the user supplied and let the script fill in the rest:
| # | Sheet row | Company | Role | Status → new | Note appended |
|---|---|---|---|---|---|
| 1 | 42 | Acme Corp | Software Intern | 📄 applied → ❌ Rejected | "Auto-rejection email received 2026-04-22" |
| 2 | 58 | Beta Inc | EE Intern | 📬 submitted → 💼 Interview | "Phone screen scheduled for Thu" |
Apply the same emoji mapping as /job-track (📄 applied · 📬 submitted · 💼 interview · 🎯 offer · ❌ rejected · 🚫 blocked · 🚪 withdrawn). Unknown statuses get no emoji.
If you want the current statuses for real, read them from the local CSV (cheap, no network) — the user can spot obvious mistakes before the sheet mutation.
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 · 100 lines · 134 tokens per session scan A 2a19267a3e35
job-status is a skill published in the GitHub repository AkbarDevop/ai-job-agent (67 stars, last pushed 6mo ago), licensed MIT. It adds 134 tokens to every session and 1,010 once invoked, about $0.0005 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.
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