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 odarino/haren --skill researchgit clone --depth 1 https://github.com/odarino/harenWrote 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/odarino/haren/research)<a href="https://agentmods.dev/skills/odarino/haren/research"><img src="https://agentmods.dev/badge/skills/odarino/haren/research/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/odarino/haren/research"><img src="https://agentmods.dev/badge/skills/odarino/haren/research.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 | $0.00015 | $0.00327 |
| Opus 5 | $0.00008 | $0.00163 |
| Sonnet 5 | $0.00003 | $0.00065 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
research 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 9d 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
Conduct a research spike and document findings as a structured artifact.
When to Use
Any time during the project lifecycle when a question needs investigation before proceeding. Examples:
- "Should we use PostgreSQL or MongoDB for this?"
- "How does the existing auth system work?"
- "What are the options for real-time notifications?"
Process
- Clarify scope: Ask the user what question needs answering and what constraints matter
- Resolve ID: Use resolve-next-id skill to get next RESEARCH ID
- Conduct research: Investigate using available tools (web search, code reading, docs)
- Document findings: Write structured research artifact
- Update registry: Use create-artifact skill to write file and update artifact-index.md
Output Format
Write to: artifacts/01-research/RESEARCH-{NNN}-{slug}.md
Use the research template from templates/research.md:
- Title and research question
- Context and motivation
- Findings (structured by sub-topic)
- Recommendations
- Open questions
- Links to related artifacts
Rules
- Stay focused on the research question — don't expand scope
- Present findings objectively — separate facts from recommendations
- If research reveals the need for more research, create a follow-up entry
- Link to related IDEAs, SPECs, or other RESEARCH artifacts via update-links skill
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.
- 9d ago First seen · 45 lines · 15 tokens per session scan A f2e435407923
research is a skill published in the GitHub repository odarino/haren (11 stars, last pushed 2mo ago), licensed MIT. It adds 15 tokens to every session and 327 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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