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 adamancyzhang/claude-orchestrator-server --skill task-acceptancegit clone --depth 1 https://github.com/adamancyzhang/claude-orchestrator-serverWrote 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/adamancyzhang/claude-orchestrator-server/task-acceptance)<a href="https://agentmods.dev/skills/adamancyzhang/claude-orchestrator-server/task-acceptance"><img src="https://agentmods.dev/badge/skills/adamancyzhang/claude-orchestrator-server/task-acceptance.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 | $0.00117 | $0.01884 |
| Opus 5 | $0.00059 | $0.00942 |
| Sonnet 5 | $0.00023 | $0.00377 |
| Haiku 4.5 | $0.00012 | $0.00188 |
Grade A, and why
task-acceptance scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Task Acceptance
验收不是读报告,是逐项验证代码、测试、git commit 的真实存在。本技能与 [[task-traceability]] 协作,确保每次验收不走形式、不漏步骤、可追溯——每个 Go/No-Go 决策都可追溯到具体的验收标准和经过验证的交付物。
何时触发
- 用户说"确认并验收"、"验收一下"、"检查一下完成情况"
- 团队成员报告任务完成,PM 需要核实
- daily work assignment 文档中所有任务标记为已完成
- PM 准备签阶段验收报告
验收八步法
按顺序执行,每一步通过才进入下一步。任一步不通过 → 记录问题,最终 No-Go。
1. 读取工作分配文档
找到对应的任务分配文档(如 docs/pm/YYYY-MM-DD/daily-work-assignment.md),提取:
- 每个成员的任务清单和验收标准
- 预期的产出物路径
- 依赖链(谁依赖谁先完成)
2. 检查产出物是否存在
对每个成员,检查指定的产出目录下是否有对应的产出文件。
ls -la docs/{member}/YYYY-MM-DD/
如果报告引用了产出物但文件不存在 → P1 问题。
3. 验证代码变更真实存在
不要轻信报告中的描述。 对每项声称的代码修改,直接 grep 验证:
# 示例:验证某组件是否真的引入了某个依赖
grep -n "<key-symbol>" <source-file-path>
# 示例:验证是否替换了特定常量
grep -n "<new-value>" <spec-file-path>
# 验证旧引用已清除
grep "<old-value>" <spec-file-path> # 应无结果
如果代码变更不存在但报告声称已完成 → P0 问题(虚假报告)。
4. 运行测试验证数字
报告中的测试数字必须可复现:
# 运行单元测试
<project-test-command> 2>&1 | tail -20
# 统计测试文件中的实际测试数量
for f in <test-glob-pattern>; do
count=$(grep -c "test(" "$f")
echo "$f: $count tests"
done
将实际测试数与报告中的数字对比。不一致 → P2 问题(报告错误)。
5. 验证 git commit 真实存在
关键:如项目使用多个独立 git worktree 或子模块,必须在对应目录下检查 commit。
# 检查各仓库的 git log
cd <subdir> && git log --oneline -10
对报告中引用的每个 commit hash:
cd <subdir> && git log --all --oneline | grep "^<commit-hash>"
如果 commit hash 不存在 → P0 问题(commits 未生成或引用了虚构 hash)。
同时检查工作区是否干净(git status)—— 如果有未提交的变更,成果可能未真正落盘。
6. 验证 commit message 格式
根据项目 CLAUDE.md 中的 Git Commit Rules 检查 commit message 格式:
# 检查每个相关 commit 的完整 message
cd <subdir> && git log --format="%B" <commit-hash> -1
格式不符合项目规范 → P1 问题(规范违规)。
amend 边界:如果 commit 未 push 到 remote,可 amend 修复;已 push 则必须新建 commit。
7. 交叉验证报告数据
报告中的数字必须自洽:
- 分项测试数相加是否等于合计?
- 表格是否有重复行?
- 截图数量是否与声称一致?
- 引用文件路径是否真实存在?
# 检查截图文件是否存在
ls -la docs/{member}/YYYY-MM-DD/*.png
不一致 → P2 问题。
8. 产出验收报告
写入 PM 的验收报告文件(如 docs/pm/YYYY-MM-DD/acceptance-report.md),使用以下模板:
# 验收报告
> PM | YYYY-MM-DD | 验收范围:成员 A / 成员 B / ... 交付物
## 验收结论:Go / No-Go
(一句话结论 + 原因)
---
## 逐项验收
### 成员 A — 任务名称
| 检查项 | 预期 | 实际 | 结果 |
|--------|------|------|------|
| ... | ... | ... | ✅/❌/⚠️ |
### 成员 B — 任务名称
...
---
## 问题清单
| # | 严重度 | 问题 | 责任人 | 修复方案 |
|---|--------|------|--------|---------|
| 1 | P0/P1/P2 | 描述 | @name | 具体操作 |
---
## 验收完成标准重检
- [ ] 标准 1 ✅/❌
- [ ] 标准 2 ✅/❌
...
---
*PM — YYYY-MM-DD*
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.
- 8d ago First seen · 202 lines · 117 tokens per session scan A 777910cf9360
task-acceptance is a skill published in the GitHub repository adamancyzhang/claude-orchestrator-server (2 stars, last pushed 1mo ago), licensed MIT. It adds 117 tokens to every session and 1,884 once invoked, about $0.0006 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 skills, from other repositories
recipe-create-meet-space
Create a Google Meet meeting space and share the join link.
workthreads
SpecStory Workthreads - a weekly work-thread rollup across a team's repos from SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more). It groups the window's sessions into threads of work per project and labels each new / open / recently closed, so a lead sees what shipped, what is still…
atmos-config
Atmos root configuration: atmos.yaml discovery, precedence, deep merging, basepath, imports, minimal bootstrap, and routing to narrower Atmos skills.
story-readiness
Validate that a story file is implementation-ready. Checks for embedded GDD requirements, ADR references, engine notes, clear acceptance criteria, and no open design questions. Produces READY / NEEDS WORK / BLOCKED verdict with specific gaps. Use when user says 'is this story ready', 'can I start on this story', 'is…
autotask-creator
Rules for automation CRUD from the group-chat commander. The commander does not call mutation tools and does not edit cloud/autotasks files directly. It emits one or more top-level ... containers in its final text; the bus parses and applies them after the turn.
monorepo-management
Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.