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 btspoony/mstar-harness --skill mstar-compoundgit clone --depth 1 https://github.com/btspoony/mstar-harnessWrote 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/btspoony/mstar-harness/mstar-compound)<a href="https://agentmods.dev/skills/btspoony/mstar-harness/mstar-compound"><img src="https://agentmods.dev/badge/skills/btspoony/mstar-harness/mstar-compound/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/btspoony/mstar-harness/mstar-compound"><img src="https://agentmods.dev/badge/skills/btspoony/mstar-harness/mstar-compound.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 | $0.00134 | $0.02346 |
| Opus 5 | $0.00067 | $0.01173 |
| Sonnet 5 | $0.00027 | $0.00469 |
| Haiku 4.5 | $0.00013 | $0.00235 |
Grade A, and why
mstar-compound 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mstar-compound（知识结晶）
Load order
Read mstar-harness-core first. Path symbols ({KNOWLEDGE_DIR}, {HARNESS_DIR}) → mstar-conventions. On conflict, mstar-harness-core wins.
Purpose
After solving a non-trivial problem, mstar-compound captures the learning as a structured document in {KNOWLEDGE_DIR}, so future plan research, debugging, and implementation can find and reuse it.
In the mstar lifecycle, compound is triggered at iteration-close (mstar-iteration § Phase 3), not per-plan Done. It can also be invoked standalone for ad-hoc captures outside formal iterations.
Knowledge that isn't captured evaporates when the session ends. Knowledge that is captured but not discoverable is equally lost. This skill addresses both.
产物存储位置
SSOT: mstar-conventions/references/artifact-storage-paths.md。本 skill 不重定义路径；知识文档 → {HARNESS_DIR}/knowledge/<category>/<slug>.md，CONCEPTS.md → <repo-root>/CONCEPTS.md。<category> 取值见 references/category-mapping.md。
是否值得结晶（自检门禁）
调用本 skill 前，PM（或触发方）必须对候选问题逐条自检 Q1–Q8（诊断耗时 / 非显而易见性 / 可复用性 / 项目特异性 / 既有重叠 / 架构影响 / 失败尝试价值 / 跨模块）。完整问题表、决策矩阵（Yes≥4 强烈建议；Yes=3 Lightweight；Yes≤2 跳过；Q5=Yes 高重叠不新建）与示例判定 → references/compound-workflow.md「是否值得结晶」。
快判：Q5 高重叠 → 更新已有文档，不新建；其余按决策矩阵 Yes 数。
Integration with mstar lifecycle
Compound 在迭代收口时触发（mstar-iteration § iteration-close），不在 per-plan Done 后单独执行：iteration-start → [plan lifecycle × N] → iteration-close → mstar-compound（per-iteration round）→ {KNOWLEDGE_DIR} → feeds next iteration's specify/plan。迭代内所有 plan Done 后，PM 回顾整轮迭代可结晶知识，批量 compound。per-plan Done 是 per-plan 闭环终点；compound 是迭代级收口活动。
Iteration package promotion（iteration-close 强制盘点）
正式迭代收口时，compound 除 plan 实现/debug/review 素材外，必须盘点当前迭代 package。
路径：{ITERATION_DIR}/<iteration-id>/**（含 guides/、specs/、扁平 .md；默认排除 delivery-compass.md 除非 PM 显式纳入。Legacy 根目录 *-delivery-compass.md 同理排除）。
| 步骤 | 动作 |
|---|---|
| 1. Inventory | 列出 package 下全部 .md（除默认排除 compass）；读各文件 + package README.md（若有） |
| 2. Triage | 每篇：Promote / Keep snapshot / Skip（理由写入 compound 摘要） |
| 3. Promote | 值得跨迭代复用 → 走 Q1–Q8（或轻量判定）→ Phase 2 重叠检测 → Phase 3–6 结构化重写进 {KNOWLEDGE_DIR}/（禁止无改写整文件复制） |
| 4. Trace | 源文件顶栏或 package README：Promoted to: <knowledge-path>；{KNOWLEDGE_DIR}/README.md 的 Source 可记 iteration:<iteration-id>/<relpath> |
| 5. Summary | PM 写入 compass ## Compound Round Summary：提升篇数、保留快照、跳过及原因 |
What ships with it
5 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 · 110 lines · 134 tokens per session scan A 6d1d2ed86226
mstar-compound is a skill published in the GitHub repository btspoony/mstar-harness (58 stars, last pushed today), licensed MIT. It adds 134 tokens to every session and 2,346 once invoked, about $0.0007 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.
Other skills, from other repositories
comet-memory
A review step for deciding whether information should become durable personal memory. It can keep, update, forget, or skip memory candidates based on bounded evidence.
wiki-retrieve
Build and query a vault-local contextual BM25 retrieval index with optional multilingual Nomic cosine reranking; use for retrieve, hybrid retrieval, BM25, rerank, contextual retrieval, chunk search, vault search, semantic search, find relevant passages, or retrieval diagnostics. Derived caches stay under .vault-meta…
subagent-driven-development
Use when executing implementation plans with independent tasks in the current session.
comet-hotfix
A quick workflow for fixing an existing bug in Comet, a tool that manages structured code changes. It moves through opening the change, building, checking, and archiving it.
comet-hotfix
Comet preset path: Bug fix / hotfix. Skip brainstorming, directly open → build → verify → archive. Applicable for behavior fixes, scenarios not involving new capability design.
comet-verify
Comet Phase 4: Verify and Close. Invoke with /comet-verify. Verify implementation matches design, handle development branch.