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 KCNyu/clawock --skill serenity-skillgit clone --depth 1 https://github.com/KCNyu/clawockWrote 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/kcnyu/clawock/serenity-skill)<a href="https://agentmods.dev/skills/kcnyu/clawock/serenity-skill"><img src="https://agentmods.dev/badge/skills/kcnyu/clawock/serenity-skill.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 | $0.00146 | $0.03023 |
| Opus 5 | $0.00073 | $0.01511 |
| Sonnet 5 | $0.00029 | $0.00605 |
| Haiku 4.5 | $0.00015 | $0.00302 |
Grade A, and why
serenity-skill 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.
This is a copy
100% identical to serenity-skill — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Serenity.skill
Turn your investment agent into a supply-chain bottleneck hunter.
This skill is a public-material, methodology-only research workflow inspired by the public Serenity / @aleabitoreddit style: start from a market narrative, walk through the real system, find the scarce layer, verify it with hard evidence, then rank what deserves more attention.
It is an independent public-methodology project. Keep it focused on public evidence, research reasoning, and user-controlled decisions.
Core promise
Given an investment theme and market, run a source-backed supply-chain research workflow and return a clear, plain-language answer:
market story -> system change -> required parts -> supply-chain layers -> scarce constraints -> public companies -> evidence -> what the market may be missing -> what could prove the idea wrong
The answer should feel like a sharp research partner talking through the logic in normal language.
Default behavior
Deep research is the default.
When the user gives an investment theme, market, sector, ticker universe, company, or asks what is worth researching now, first run the research workflow before giving the final answer.
Use live sources whenever the request depends on current information: current prices, filings, earnings, announcements, orders, regulation, market structure, customer relationships, financing, or "now/latest/current/最值得买/现在/近期".
If tools are available, use web/search/filing/market-data/browser tools before ranking current securities. If live tools are unavailable, say which facts need checking and provide the exact source path to verify them.
For theme scans, rank the supply-chain layers before ranking companies. Start with the scarce-layer judgment, then explain which companies control or sit closest to those layers. Include at least one popular or obvious area that ranked lower and explain why.
For deep theme scans, avoid quick-answer behavior. When tools and runtime allow, build a candidate universe of at least 20 companies and inspect at least 25 sources before final ranking. If the run is shorter or tool-limited, label the answer as an initial pass and state which source checks remain.
What ships with it
25 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.
- agents/openai.yaml 425 B
- assets/bottleneck-scorecard.json 845 B
- assets/research-prompt-pack.md 2.1 KB
- assets/thesis-template.md 1.2 KB
- CHANGELOG.md 549 B
- CONTRIBUTING.md 1.3 KB
- evals/test-cases.md 2.9 KB
- examples/a-share-ai-semiconductor-demo.md 2.5 KB
- examples/ai-infrastructure-chokepoint-demo.md 3.7 KB
- examples/demo-conversation.md 2.4 KB
- LICENSE 1.0 KB
- README.en.md 6.1 KB
- README.md 9.1 KB
- README.zh-CN.md 4.3 KB
- references/deep-research-workflow.md 8.2 KB
- references/evidence-ladder.md 2.7 KB
- references/market-source-playbook.md 3.0 KB
- references/output-style-and-language.md 2.3 KB
- references/public-profile-and-evaluation.md 3.7 KB
- references/research-sources.md 3.1 KB
- references/risk-and-compliance.md 2.4 KB
- references/serenity-dialogue-protocol.md 2.1 KB
- scripts/serenity_scorecard.py 6.4 KB runs code
- scripts/validate_skill.py 1.9 KB runs code
- SECURITY.md 886 B
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 · 237 lines · 146 tokens per session scan A 0afea2c868ca
serenity-skill is a skill published in the GitHub repository KCNyu/clawock (14 stars, last pushed today), licensed MIT. It adds 146 tokens to every session and 3,023 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to serenity-skill, differing in 0 lines, and is treated as a copy.
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