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-outreachgit 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-outreach)<a href="https://agentmods.dev/skills/akbardevop/ai-job-agent/job-outreach"><img src="https://agentmods.dev/badge/skills/akbardevop/ai-job-agent/job-outreach/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-outreach"><img src="https://agentmods.dev/badge/skills/akbardevop/ai-job-agent/job-outreach.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 | $0.00157 | $0.02121 |
| Opus 5.5 | $0.00063 | $0.00848 |
| Sonnet 5.5 | $0.00031 | $0.00424 |
| Haiku 4.5 | $0.00016 | $0.00212 |
Grade A, and why
job-outreach 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 — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Job Outreach
A skill (not an API call) for cold outreach. Claude — this agent — does the research and drafting. A small Node script sends via msmtp. A CSV logs the send.
This is the pattern behind the 228+ cold emails that led to the GFT offer in 12 days. Keep it short, honest, and specific to the person. Never auto-send.
Repo location
$AI_JOB_AGENT_ROOT → ~/.claude/skills/ai-job-agent/ → REPO_PATH marker file → ~/ai-job-agent/.
Prerequisites
Before drafting anything:
-
msmtpinstalled (command -v msmtpshould resolve). If not, tell the user:brew install msmtpand configure
~/.msmtprcwith their Gmail app password. Seedocs/SETUP.md#cold-email-setup-msmtp--gmail. Stop until set up. -
config/candidate-profile.mdexists (required for personalization). If not, tell the user to runbash wizard.shfirst. -
outreach-log.csvexists at$AI_JOB_AGENT_ROOT/outreach-log.csv. If not, copy fromtemplates/outreach-log.template.csv.
Workflow
Step 1 — Understand the target
Parse $ARGUMENTS. It might be:
- A company name (e.g. "GFT Infrastructure")
- A LinkedIn profile URL (
linkedin.com/in/...) - A direct email (
[email protected]) - Freeform ("the VP of Power Services at GFT" — ask a clarifying question if ambiguous)
Load config/candidate-profile.md so you know who is sending (Akbar's pitch, resume variants, work auth, graduation date, key projects).
Step 2 — Research
Use WebSearch + WebFetch to pull 3-5 facts about the company and the person. Aim for:
- What the company actually does (not the generic pitch — specifically: what project, what market, what recent news)
- The person's role and relevant recent activity (recent post, team they lead, quoted in an article)
- A credible hook — one thing the sender has actually done that connects to their work (not "passionate about your mission")
If you can't find anything specific after ~3 searches, tell the user "I can't find anything concrete to personalize with — do you have any context (a mutual connection, a talk they gave, an article)?" and wait for them.
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 · 193 lines · 157 tokens per session scan A 65fd0c869518
job-outreach is a skill published in the GitHub repository AkbarDevop/ai-job-agent (67 stars, last pushed 6mo ago), licensed MIT. It adds 157 tokens to every session and 2,121 once invoked, about $0.0006 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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