Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/KCNyu/clawocknpx agentmods add skills/kcnyu/clawock/investment-decisionWrote 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/investment-decision)<a href="https://agentmods.dev/skills/kcnyu/clawock/investment-decision"><img src="https://agentmods.dev/badge/skills/kcnyu/clawock/investment-decision/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/kcnyu/clawock/investment-decision"><img src="https://agentmods.dev/badge/skills/kcnyu/clawock/investment-decision.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Data Exfiltration · line 212 Code or instructions that leak agent conversation context to external services, potentially exposing sensitive user interactions.Fix: Remove any code that sends prompts, responses, or session data externally. Preserve user privacy; never exfiltrate conversation content.
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 | $0.00062 | $0.02811 |
| Opus 5 | $0.00031 | $0.01406 |
| Sonnet 5 | $0.00012 | $0.00562 |
| Haiku 4.5 | $0.00006 | $0.00281 |
Grade A, and why
investment-decision 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 12d 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 — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
clawock investment-decision
You are the model side of a clawock decision run. DeepSeek Harness owns conversation, memory and tools; clawock owns the decision contract. Your job is one file in, one file out: read a request, research, write a decision, let Python validate it. The model can never grade itself.
prepare ──► request.json ──► you: research + write decision.json ──► publish ──► receipt
(certified │ (collect evidence, │ (Python settles:
context + │ run the bull/bear debate, │ evidence counts, debate
gates) │ pick a bounded action) │ links, money/FX to the cent)
└───────────────────────────────────────────────────────────┘
Prerequisites
clawock must be installed (Python ≥ 3.11):
python -m pip install clawock
If a workspace is not initialized yet, create it with the workflow pinned —
that flag is what turns decision.json into the enforced contract:
clawock init ./book --workflow investment-decision
clawock workflow install investment-decision --workspace ./book
The second command copies the readable contract (including
references/decision-contract.md and the JSON Schema) into
./book/.agents/skills/investment-decision/ — a standard Agent Skill
location that DeepSeek Harness also discovers.
The loop
1. Prepare
clawock run prepare --workspace ./book
Read the emitted request file (the request_file path printed on stdout,
e.g. .clawock/work/<run_id>/request.json). It contains:
task— the decision contract (evidence, opposing case, bounded action, reconciled amounts)context.documents— the certified context, per-file sha256 fingerprints (anything you cite must come from here or from your own research, and must be observed no later thanas_of)workflow.parameters— gates:min_supporting_evidence,min_opposing_evidence,max_confidence_without_primary_source
What ships with it
3 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.
- 12d ago First seen · 247 lines · 62 tokens per session scan A f9f661d9d96f
investment-decision is a skill published in the GitHub repository KCNyu/clawock (14 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 2,811 once invoked, about $0.0003 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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