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.
npx skills add AkbarDevop/ai-job-agent --skill job-followupgit clone --depth 1 https://github.com/AkbarDevop/ai-job-agentWrote 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-followup)<a href="https://agentmods.dev/skills/akbardevop/ai-job-agent/job-followup"><img src="https://agentmods.dev/badge/skills/akbardevop/ai-job-agent/job-followup/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-followup"><img src="https://agentmods.dev/badge/skills/akbardevop/ai-job-agent/job-followup.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 | $0.00137 | $0.01967 |
| Opus 5.5 | $0.00055 | $0.00787 |
| Sonnet 5.5 | $0.00027 | $0.00393 |
| Haiku 4.5 | $0.00014 | $0.00197 |
Grade A, and why
job-followup 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Job Followup
Companion to /job-outreach. Reads outreach-log.csv, figures out which cold emails need a nudge, and (optionally) walks the user through drafting and sending follow-ups one at a time.
Cadence (borrowed from santifer/career-ops)
| Stage | Days since last touch | Max total follow-ups |
|---|---|---|
| First follow-up (after cold email) | 7 | 1 |
| Second follow-up | 7 (so day 14 from original) | 2 (stop after this) |
A contact is done once any of these is true:
replied_atis setfollow_up_count≥ 2status∈ {bounced,replied,interview_scheduled,closed}
Repo location
$AI_JOB_AGENT_ROOT → ~/.claude/skills/ai-job-agent/ → REPO_PATH marker file → ~/ai-job-agent/.
Workflow
Step 1 — Read the log
Read $AI_JOB_AGENT_ROOT/outreach-log.csv (fall back to $OUTREACH_LOG env var).
If missing or empty: tell the user to run /job-outreach at least once and stop.
Step 2 — Compute urgency for every non-done row
For each row where the contact is not done (per rules above):
reference_date=last_follow_up_atif set, elsesent_atdays_since= today −reference_datenext_followup_after=reference_date+ 7 daysurgency:overdue→days_since > 10due→days_since ≥ 7soon→days_since ≥ 5waiting→ otherwise
Step 3 — Render the dashboard table
Sort by urgency (overdue → due → soon → waiting), then by days_since desc within each bucket.
| # | Urgency | Days since | Company | Name | Round | Subject (original) | Sent |
|---|---|---|---|---|---|---|---|
| 1 | 🚨 overdue | 12 | GFT Infrastructure | Paul Young | 1/2 | Intern interest — substation… | 2026-04-10 |
| 2 | ⏰ due | 7 | Worley | Zulfiya Vafaeva | 1/2 | Savolim bor — GL intern… | 2026-04-15 |
| 3 | 👀 soon | 5 | Masdar | Ali Al-Maktoum | 1/2 | Energy intern from Mizzou… | 2026-04-17 |
| 4 | 💤 waiting | 2 | Plug and Play | Muhammad Mahmudov | 1/2 | Tashkent program interest… | 2026-04-20 |
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 · 147 lines · 137 tokens per session scan A 53ae38a6cdff
job-followup is a skill published in the GitHub repository AkbarDevop/ai-job-agent (67 stars, last pushed 6mo ago), licensed MIT. It adds 137 tokens to every session and 1,967 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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