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 BAK262/resume-ssot --skill resume-ssotgit clone --depth 1 https://github.com/BAK262/resume-ssotWrote 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/bak262/resume-ssot/resume-ssot)<a href="https://agentmods.dev/skills/bak262/resume-ssot/resume-ssot"><img src="https://agentmods.dev/badge/skills/bak262/resume-ssot/resume-ssot/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/bak262/resume-ssot/resume-ssot"><img src="https://agentmods.dev/badge/skills/bak262/resume-ssot/resume-ssot.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 | $0.00183 | $0.00889 |
| Opus 5 | $0.00092 | $0.00445 |
| Sonnet 5 | $0.00037 | $0.00178 |
| Haiku 4.5 | $0.00018 | $0.00089 |
Grade A, and why
resume-ssot 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 3d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
resume-ssot（Agent 入口）
Agent 安装 → agent/INSTALL.md
Agent 操作手册 → agent/ROUTER.md（路由与智能默认，唯一权威）
内部文档均在 agent/、scripts/、templates/、fixtures/。不要让用户阅读这些路径。
对用户怎么说
| 内部 | 对外 |
|---|---|
| ssot.json | 经历档案（AI 维护，不用打开） |
| industry_base.html | 通用版简历 |
| industry_.html | 投递版简历 |
| .txt | 网申粘贴文本 |
| job-match-industry.html | 可投岗位表 |
| application-tracker.html | 投递进度表 |
| candidate-profile.json | 求职画像（技能/偏好） |
| interview-rN-*.md | 面试复盘（单岗） |
| interview-exposure-ledger.md | 暴露台账（跨岗） |
快速路由
| 意图 | 读 |
|---|---|
| 任何任务开始前 | agent/ROUTER.md |
| 从 GitHub 安装 | agent/INSTALL.md |
| 设计边界 / legacy skill | agent/DESIGN.md |
| 初始化 | agent/workflows/init.md |
| 维护事实 | agent/workflows/maintain.md |
| 写简历 / 定位开场 / 要点包装 | agent/workflows/resume.md + agent/rules/resume.md |
| 轻量编辑 | agent/workflows/patch.md |
| 总结技能 / 求职偏好 / 优势赛道 | agent/workflows/candidate-profile.md |
| 搜可投岗位 / 刷新岗位表 | agent/workflows/candidate-profile.md + agent/workflows/job-match.md（多渠道实搜；推荐 boss-agent MCP） |
| 投递进度 / Offer | agent/workflows/offer.md |
| 面试预测 / 追问 / 复盘 / 暴露台账 | agent/workflows/interview.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.
- 3d ago Changed · +2 lines · +22 tokens per session b831e4046c96
- 6d ago Changed 0a721040fc21
- 11d ago First seen · 58 lines · 161 tokens per session scan A b33ed4624bda
resume-ssot is a skill published in the GitHub repository BAK262/resume-ssot (3 stars, last pushed 4d ago), licensed MIT. It adds 183 tokens to every session and 889 once invoked, about $0.0009 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.
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