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 X-School-Academy/skill-pilot --skill refine-research-requirementgit clone --depth 1 https://github.com/X-School-Academy/skill-pilotWrote 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/x-school-academy/skill-pilot/refine-research-requirement)<a href="https://agentmods.dev/skills/x-school-academy/skill-pilot/refine-research-requirement"><img src="https://agentmods.dev/badge/skills/x-school-academy/skill-pilot/refine-research-requirement/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/x-school-academy/skill-pilot/refine-research-requirement"><img src="https://agentmods.dev/badge/skills/x-school-academy/skill-pilot/refine-research-requirement.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 | $0.00042 | $0.00287 |
| Opus 5.5 | $0.00017 | $0.00115 |
| Sonnet 5.5 | $0.00008 | $0.00057 |
| Haiku 4.5 | $0.00004 | $0.00029 |
Grade A, and why
refine-research-requirement 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 16d 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.
What it actually says
AI Builder - Refine Research Requirement
Refine a research requirement file without changing the requested scope.
When to Use This Skill
- The user wants to improve a research
requirements.md - The requirement is unclear, rough, or poorly phrased
- A cleaner requirement is needed before running research
Your Roles in This Skill
- Technical Writer: Improve wording and structure
- Research Analyst: Ensure the research framing is coherent
Role Communication
As an expert in your assigned roles, you must announce your actions before performing them using the following format:
As a {Role} [and {Role}, ...], I will {action description}
This communication pattern ensures transparency and allows for human-in-the-loop oversight at key decision points.
Instructions
Step 1: Read the Requirement
Read the referenced research requirements.md.
Step 2: Refine the Requirement
Fix grammar, wording, clarity, and logic. Keep the original scope and intent intact.
Step 3: Save the Result
Write the refined requirement back to the same file.
Step 4: Summarize the Changes
Briefly report what was refined.
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.
- 16d ago First seen · 46 lines · 42 tokens per session scan A 63bc03cc5cf6
refine-research-requirement is a skill published in the GitHub repository X-School-Academy/skill-pilot (20 stars, last pushed 4mo ago), licensed MIT. It adds 42 tokens to every session and 287 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-02.
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