Borrowing it
Nothing to install: this file belongs to neveevol7/career-ops-cn. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/neveevol7/career-ops-cn/main/.claude/skills/career-ops/SKILL.mdgit clone --depth 1 https://github.com/neveevol7/career-ops-cnWrote 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/neveevol7/career-ops-cn/career-ops)<a href="https://agentmods.dev/skills/neveevol7/career-ops-cn/career-ops"><img src="https://agentmods.dev/badge/skills/neveevol7/career-ops-cn/career-ops/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/neveevol7/career-ops-cn/career-ops"><img src="https://agentmods.dev/badge/skills/neveevol7/career-ops-cn/career-ops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00022 | $0.00908 |
| Opus 5.5 | $0.00009 | $0.00363 |
| Sonnet 5.5 | $0.00004 | $0.00182 |
| Haiku 4.5 | $0.00002 | $0.00091 |
Grade A, and why
career-ops 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 2mo 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
career-ops -- Router
Mode Routing
Determine the mode from {{mode}}:
| Input | Mode |
|---|---|
| (empty / no args) | discovery -- Show command menu |
| JD text or URL (no sub-command) | auto-pipeline |
oferta |
oferta |
ofertas |
ofertas |
contacto |
contacto |
deep |
deep |
pdf |
pdf |
training |
training |
project |
project |
tracker |
tracker |
pipeline |
pipeline |
apply |
apply |
scan |
scan |
batch |
batch |
patterns |
patterns |
followup |
followup |
Auto-pipeline detection: If {{mode}} is not a known sub-command AND contains JD text (keywords: "responsibilities", "requirements", "qualifications", "about the role", "we're looking for", company name + role) or a URL to a JD, execute auto-pipeline.
If {{mode}} is not a sub-command AND doesn't look like a JD, show discovery.
Discovery Mode (no arguments)
Show this menu:
career-ops -- Command Center
Available commands:
/career-ops {JD} → AUTO-PIPELINE: evaluate + report + PDF + tracker (paste text or URL)
/career-ops pipeline → Process pending URLs from inbox (data/pipeline.md)
/career-ops oferta → Evaluation only A-F (no auto PDF)
/career-ops ofertas → Compare and rank multiple offers
/career-ops contacto → LinkedIn power move: find contacts + draft message
/career-ops deep → Deep research prompt about company
/career-ops pdf → PDF only, ATS-optimized CV
/career-ops training → Evaluate course/cert against North Star
/career-ops project → Evaluate portfolio project idea
/career-ops tracker → Application status overview
/career-ops apply → Live application assistant (reads form + generates answers)
/career-ops scan → Scan portals and discover new offers
/career-ops batch → Batch processing with parallel workers
/career-ops patterns → Analyze rejection patterns and improve targeting
/career-ops followup → Follow-up cadence tracker: flag overdue, generate drafts
Inbox: add URLs to data/pipeline.md → /career-ops pipeline
Or paste a JD directly to run the full pipeline.
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.
- 2mo ago First seen · 96 lines · 22 tokens per session scan A ea4d10e12b92
career-ops is a skill published in the GitHub repository neveevol7/career-ops-cn (23 stars, last pushed 10d ago), licensed MIT. It adds 22 tokens to every session and 908 once invoked, about $0.0001 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.
career-ops compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| career-opsneveevol7/career-ops-cn | Skill | 23 | 10d ago | MIT | A | 22 | Claude Code |
| auto-job-applysharzoy/auto-job-apply | Skill | 185 | 2mo ago | MIT | A | 94 | Claude Code, Codex |
| recruit-initViy1204/recruiting-copilot | Skill | 109 | today | MIT | A | 136 | Claude Code |
| bossmateyinren112/bossmate | Skill | 19 | 1mo ago | MIT | A | 129 | Codex |
| taxue-calmtaxueseek/taxueskills | Skill | 24 | 1mo ago | none | A | 156 | Claude Code, Codex |
| taxue-careertaxueseek/taxueskills | Skill | 24 | 1mo ago | none | A | 303 | Claude Code, Codex |
| taxue-buildtaxueseek/taxueskills | Skill | 24 | 1mo ago | none | A | 128 | Claude Code, Codex |