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 1xiaoyueryuer/boss-hr-agent-toolkit --skill html-reportgit clone --depth 1 https://github.com/1xiaoyueryuer/boss-hr-agent-toolkitWrote 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/1xiaoyueryuer/boss-hr-agent-toolkit/html-report)<a href="https://agentmods.dev/skills/1xiaoyueryuer/boss-hr-agent-toolkit/html-report"><img src="https://agentmods.dev/badge/skills/1xiaoyueryuer/boss-hr-agent-toolkit/html-report/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/1xiaoyueryuer/boss-hr-agent-toolkit/html-report"><img src="https://agentmods.dev/badge/skills/1xiaoyueryuer/boss-hr-agent-toolkit/html-report.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 | $0.00159 | $0.03433 |
| Opus 5 | $0.00079 | $0.01716 |
| Sonnet 5 | $0.00032 | $0.00687 |
| Haiku 4.5 | $0.00016 | $0.00343 |
Grade A, and why
html-report 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 11d 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 — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HTML 报告生成（统一方案）
设计核心
- 通用 schema：接受
resume-screener/scripts/score_resumes.py输出的screening_results.json，任意岗位都能用 - LLM 自由填写：candidates[].highlights / concerns / actions[].{background, action, strengths} 由 LLM 决定内容，脚本只负责渲染
- 字段鲁棒：所有字段
.get()处理，缺失自动跳过 - 视觉风格：黑蓝渐变 header + 玻璃质感 meta-item + 三色 stat-card 配色
核心不变量（不要修改）
| 项 | 值 |
|---|---|
| 输入文件 | screening_results.json（由 score_resumes.py 产出） |
| 输出文件 | *.html（自包含单文件，无外部依赖） |
| 字体栈 | Inter, "PingFang SC", "Microsoft YaHei" |
| 主色（header） | linear-gradient(135deg, #1a1a2e, #16213e, #0f3460) |
| 背景色 | #f5f7fa |
| 卡片圆角 | border-radius: 12px |
| Tier 颜色 | 推荐 #059669（绿）/ 待定 #d97706（黄）/ 不推荐 #dc2626（红） |
| 进度条颜色 | ≥70% 绿 / 50-69% 黄 / <50% 红 |
工具脚本
scripts/generate_html_report.py（唯一渲染脚本）
工具函数（agent 可直接 import）：
| 函数 | 作用 |
|---|---|
render(data: dict) → str |
输入 screening_results.json 数据，输出 HTML 字符串 |
bar_color(pct) → str |
根据百分比返回进度条颜色（绿/黄/红） |
tier_badge(tier) → str |
根据 tier 返回徽章 HTML |
render_candidate(c, labels, rank) → str |
渲染单个候选人卡片 |
render_action(name, score, body) → str |
渲染单个行动建议行 |
CLI：
python generate_html_report.py \
--input <screening_results.json> \
--output <report.html> \
--job-name "<岗位名>" \
--encrypt-job-id "<BOSS 的 encryptJobId>" \
--run-id <run_id>
🚨 新接口必传
--encrypt-job-id：与 Step 1/2/3 保持一致。也可以设 envBOSS_HR_ENCRYPT_JOB_ID作为 fallback。 兼容模式：如果不传，脚本会从--input路径里反推job_name（旧中文目录）作为兜底，但新设计必须显式传，避免与新 job 混目录。
templates/report.html（HTML 模板）
Jinja2 风格模板占位符。当前未使用（脚本直接生成自包含 HTML），保留作为参考。
完整工作流
boss-recommend-downloader/scripts/run_all.py
list + download 串起来
→ 输出 runs/<run_id>/process/{recommend_geek_ids,new_resumes,failed_resumes,run_summary}.json
↓
resume-screener/scripts/score_resumes.py
LLM 评 4 维度（exp/skill/proj/major）
+ school_tier 强制覆盖 edu
+ 公式重算 total
+ 判定 tier
→ 输出 runs/<run_id>/process/screening_results.json
↓
html-report/scripts/generate_html_report.py
读取 screening_results.json
→ 输出 runs/<run_id>/<run_id>_<岗位名>_简历筛选报告.html（自包含）
↑ 文件名含 run_id，永不覆盖历史报告
↑ 头部展示 run-badge：🆔 run_id: <run_id> | 🕐 生成时间: ...
↓
preview_url 在 IDE 内置浏览器打开
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 267 lines · 159 tokens per session scan A 846c9b6d83f2
html-report is a skill published in the GitHub repository 1xiaoyueryuer/boss-hr-agent-toolkit (46 stars, last pushed 1mo ago), licensed MIT. It adds 159 tokens to every session and 3,433 once invoked, about $0.0008 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 2026-08-30.
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