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 agentmods add commands/soheilfallah/jobxhunter/discovergit clone --depth 1 https://github.com/soheilfallah/jobxhunterWrote 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/soheilfallah/jobxhunter/discover)<a href="https://agentmods.dev/commands/soheilfallah/jobxhunter/discover"><img src="https://agentmods.dev/badge/commands/soheilfallah/jobxhunter/discover.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.00184 |
| Opus 5 | $0.00009 | $0.00092 |
| Sonnet 5 | $0.00004 | $0.00037 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
discover 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 6d 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
Use the jobxhunter skill's DISCOVER + COLD MAIL routine for the hidden job market (no advert).
Build a ranked target-company list (WebSearch + Clay + Ahrefs "related companies" + Indeed vetting) → find
the named hiring contact and a verified email (Clay, or RocketReach — a paid lookup credit, used frugally)
→ draft a short, human cold email from the user's own spoken words, CV attached (Gmail draft for review) →
track each target. Never cold-mail info@.
Follow SKILL.md ("Command: DISCOVER + COLD MAIL") and references/company-discovery-cold-outreach.md.
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.
- 6d ago First seen · 14 lines · 18 tokens per session scan A 404a0f770aef
discover is a command published in the GitHub repository soheilfallah/jobxhunter (8 stars, last pushed 9d ago), licensed MIT. It adds 18 tokens to every session and 184 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 2026-08-31.
Other commands, from other repositories
start
Onboard with Rebound — capture your base resume and build your private profile (skills, differentiators, and situation).
track
Record or update a job application in your local tracker so it shows on the Rebound dashboard.
match
Score how well roles fit you (50–90%+) and rank them — paste roles/URLs now; web-crawling discovery is on the roadmap.
profile
View or update your Rebound profile — skills, differentiators, and your private situation (work authorization, timeline).
rise
A supportive, practical check-in — momentum, next best action, and a plan that respects your runway. Knocked down, not out.
quick-eval
Quick job evaluation. Paste a JD and get a score plus one-paragraph summary. Faster than a full evaluate. Use when someone says 'quick eval', 'quick score', or 'just give me a number'.