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 HezaoHezao/poirot --skill spikegit clone --depth 1 https://github.com/HezaoHezao/poirotWrote 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/hezaohezao/poirot/spike)<a href="https://agentmods.dev/skills/hezaohezao/poirot/spike"><img src="https://agentmods.dev/badge/skills/hezaohezao/poirot/spike/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/hezaohezao/poirot/spike"><img src="https://agentmods.dev/badge/skills/hezaohezao/poirot/spike.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 | $0.00013 | $0.01543 |
| Opus 5 | $0.00006 | $0.00772 |
| Sonnet 5 | $0.00003 | $0.00309 |
| Haiku 4.5 | $0.00001 | $0.00154 |
Grade A, and why
spike 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spike
Use this skill when the user wants to feel out an idea before committing to a real build — validating feasibility, comparing approaches, or surfacing unknowns that no amount of research will answer. Spikes are disposable by design. Throw them away once they've paid their debt.
Load this when the user says things like "let me try this", "I want to see if X works", "spike this out", "before I commit to Y", "quick prototype of Z", "is this even possible?", or "compare A vs B".
When NOT to use this
- The answer is knowable from docs or reading code — just do research, don't build
- The work is production path — use the
planskill instead - The idea is already validated — jump straight to implementation
Core method
Regardless of scale, every spike follows this loop:
decompose → research → build → verdict
↑__________________________________________↓
iterate on findings
1. Decompose
Break the user's idea into 2-5 independent feasibility questions. Each question is one spike. Present them as a table with Given/When/Then framing:
| # | Spike | Validates (Given/When/Then) | Risk |
|---|---|---|---|
| 001 | websocket-streaming | Given a WS connection, when LLM streams tokens, then client receives chunks < 100ms | High |
| 002a | pdf-parse-pdfjs | Given a multi-page PDF, when parsed with pdfjs, then structured text is extractable | Medium |
| 002b | pdf-parse-camelot | Given a multi-page PDF, when parsed with camelot, then structured text is extractable | Medium |
Spike types:
- standard — one approach answering one question
- comparison — same question, different approaches (shared number, letter suffix)
Order by risk. The spike most likely to kill the idea runs first.
Skip decomposition only if the user already knows exactly what they want to spike. Then take their idea as a single spike.
2. Align (for multi-spike ideas)
Present the spike table. Ask: "Build all in this order, or adjust?" Let the user drop, reorder, or re-frame before you write any code.
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 · 185 lines · 13 tokens per session scan A 8aa36ba7d1d4
spike is a skill published in the GitHub repository HezaoHezao/poirot (217 stars, last pushed 1mo ago), licensed MIT. It adds 13 tokens to every session and 1,543 once invoked, about $0.0001 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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