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 spiralcrew-ou/profilespider-agent-skills --skill research-gap-analysisgit clone --depth 1 https://github.com/spiralcrew-ou/profilespider-agent-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/spiralcrew-ou/profilespider-agent-skills/research-gap-analysis)<a href="https://agentmods.dev/skills/spiralcrew-ou/profilespider-agent-skills/research-gap-analysis"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/research-gap-analysis/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/spiralcrew-ou/profilespider-agent-skills/research-gap-analysis"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/research-gap-analysis.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 | $0.00404 |
| Opus 5 | $0.00018 | $0.00202 |
| Sonnet 5 | $0.00007 | $0.00081 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
research-gap-analysis 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 11d 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
Research Gap Analysis
Purpose
Identify missing information required to complete qualification, segmentation, or outreach prep.
When to use this skill
- Finding what blocks qualification or segmentation
- Prioritizing enrichment work
- Scoping research before outreach
- Turning "incomplete data" into a task list
When not to use this skill
- You have no goal to assess gaps against
- The dataset is already complete
- You want the gaps filled, not identified
Required inputs
- Records
- The goal (qualify, segment, or prep outreach)
Optional inputs
- Required fields for the goal
- Approved research sources
Rules
- Assess gaps against the stated goal.
- Explain why each gap matters and its impact.
- Suggest a realistic research source per gap.
- Prioritize gaps by impact.
- List assumptions to verify.
Process
- Parse the goal and required fields.
- Compare records to requirements.
- List missing fields and their impact.
- Suggest sources and assign priority.
- Record unresolved assumptions.
Output format
Return one record per identified gap with the following fields:
- missing_field
- why_it_matters
- impact_on_decision
- suggested_research_source
- priority
- unresolved_assumptions
Validation
- Confirm gaps map to the goal.
- Confirm priorities reflect impact.
- Confirm assumptions are flagged.
Limitations
- It identifies gaps; it does not fill them.
- Source suggestions may vary in availability.
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.
- 11d ago First seen · 81 lines · 36 tokens per session scan A b18577772446
research-gap-analysis is a skill published in the GitHub repository spiralcrew-ou/profilespider-agent-skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 404 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 2026-08-31.
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