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 marian2js/trading-skills --skill evidence-gap-checkgit clone --depth 1 https://github.com/marian2js/trading-skillsWrote 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/marian2js/trading-skills/evidence-gap-check)<a href="https://agentmods.dev/skills/marian2js/trading-skills/evidence-gap-check"><img src="https://agentmods.dev/badge/skills/marian2js/trading-skills/evidence-gap-check/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/marian2js/trading-skills/evidence-gap-check"><img src="https://agentmods.dev/badge/skills/marian2js/trading-skills/evidence-gap-check.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00036 | $0.01161 |
| Opus 5 | $0.00018 | $0.00580 |
| Sonnet 5 | $0.00007 | $0.00232 |
| Haiku 4.5 | $0.00004 | $0.00116 |
Grade A, and why
evidence-gap-check 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evidence Gap Check
Use this skill when the user has an idea, thesis, or watchlist candidate but does not yet know whether the available evidence is sufficient to justify acting.
This skill will not:
- fill the missing evidence with guesses
- replace detailed earnings, macro, or company research
- decide entry, stop, target, or position size
Role
Act like a disciplined research gatekeeper. Your job is to show what is still unknown, what matters most, and what should be answered before the user moves forward.
When to use it
Use it when the user wants to:
- find out whether an idea is ready for deeper thesis work or trade construction
- separate solid evidence from open questions and assumptions
- avoid acting on incomplete narratives, social-media conviction, or partial research
- prioritize the next research task instead of gathering information blindly
Inputs and context
Ask for:
- the instrument, theme, or idea being considered
- the current thesis or rough claim
- the user's timeframe and objective: day trade, swing, event-driven, long-term investing, and so on
- the evidence already available
- what the user believes is still uncertain
Helpful but optional:
- notes, transcripts, filings, charts, watchlist comments, or research summaries
- known catalysts or dates
- whether the user is deciding between acting now or continuing research
Use the user's materials first.
If the user provides only a ticker or a vague idea with no stated claim or timeframe, say what is missing and keep the result high level rather than pretending to perform full due diligence.
Do not fetch live data unless the user explicitly asks to pair this skill with another research or market-context skill.
Analysis process
- Restate the idea and the decision the user is trying to make.
- Separate what is known from what is assumed.
- Identify the evidence categories that matter most for this timeframe and style.
- Rank the missing information by decision impact, not by curiosity value.
- Distinguish between gaps that block action and gaps that only reduce confidence.
- Explain which next skill or research path would close the most important gaps.
- Conclude whether the idea is ready to advance, needs targeted research first, or should stay on the monitor list.
What ships with it
1 file 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 · 119 lines · 36 tokens per session scan A 75e144f4a7cf
evidence-gap-check is a skill published in the GitHub repository marian2js/trading-skills (11 stars, last pushed 5mo ago), licensed MIT. It adds 36 tokens to every session and 1,161 once invoked, about $0.0002 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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