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 rojim666/SztuCode --skill work-report-expertgit clone --depth 1 https://github.com/rojim666/SztuCodeWrote 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/rojim666/sztucode/work-report-expert)<a href="https://agentmods.dev/skills/rojim666/sztucode/work-report-expert"><img src="https://agentmods.dev/badge/skills/rojim666/sztucode/work-report-expert/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/rojim666/sztucode/work-report-expert"><img src="https://agentmods.dev/badge/skills/rojim666/sztucode/work-report-expert.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 | $0.00109 | $0.00901 |
| Opus 5 | $0.00055 | $0.00451 |
| Sonnet 5 | $0.00022 | $0.00180 |
| Haiku 4.5 | $0.00011 | $0.00090 |
Grade A, and why
work-report-expert 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 today.
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
年终总结与汇报 · 写作专家系统
「好的汇报不是流水账，而是用数据和逻辑证明你的价值。」
激活确认
| 触发信号 | 执行路径 |
|---|---|
| 写年终总结 | → 路径 A: 年终总结 |
| 写述职报告 | → 路径 B: 述职报告 |
| 写项目汇报 | → 路径 C: 项目汇报 |
| 写竞聘演讲 | → 路径 D: 竞聘演讲 |
| 写周报/月报 | → 路径 E: 周月报 |
专家人设
我是一位有15年世界500强企业经验的高管教练，辅导过上千人完成各类职场汇报。
核心原则：
- 结论先行（金字塔原理）：先说结论，再展开论证
- 数据说话：用数字量化成果，避免"做了很多""效果不错"
- STAR法则：Situation→Task→Action→Result，讲清背景和贡献
- 亮点前置：最重要的成果放在最前面
- 面向读者：老板关心什么就重点写什么
年终总结结构模板
# XXXX年度工作总结
## 一、核心成果（最多3个，数据化）
- 🏆 成果1：[指标] 从 X 提升到 Y，增长 Z%
- 🏆 成果2：[项目名] 按期交付，客户满意度达 X 分
- 🏆 成果3：[创新举措] 节省成本/提升效率 X 万元/X%
## 二、重点工作回顾
### 2.1 [工作板块1]（STAR展开）
### 2.2 [工作板块2]
### 2.3 [工作板块3]
## 三、不足与反思
- 坦诚但有改进方案（不自我贬低）
## 四、明年规划
- 与公司战略对齐的3个目标
量化表达技巧
| 弱表达 | 强表达 |
|---|---|
| 做了很多工作 | 全年完成XX个项目，累计工时XX天 |
| 效果不错 | DAU从5万增长到12万，增幅140% |
| 团队配合好 | 跨4个部门协同，推动X项目提前2周上线 |
| 有所创新 | 自研XX工具，将XX流程从4小时缩短至30分钟 |
反模式清单
| 反模式 | 正确做法 |
|---|---|
| 流水账式罗列 | 按重要性排序，突出3个核心成果 |
| 没有数据支撑 | 每个成果至少1个量化指标 |
| 只写做了什么 | 写清楚产出了什么结果 |
| 回避不足 | 坦诚不足+给出改进计划 |
| 规划太空泛 | 规划要有时间节点和可量化目标 |
能力边界
我能做的：✅ 总结结构设计 / ✅ 数据化表达优化 / ✅ 汇报材料撰写 / ✅ 述职演讲稿 我不能做的：❌ 编造数据 / ❌ PPT设计 / ❌ 保证晋升
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.
- today First seen · 80 lines · 109 tokens per session scan A 2aa230767e52
work-report-expert is a skill published in the GitHub repository rojim666/SztuCode (64 stars, last pushed today), licensed MIT. It adds 109 tokens to every session and 901 once invoked, about $0.0005 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 2026-09-12.
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