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 agentmods add skills/raulvidis/openclaw-multi-agent-kit/research-intelnpx skills add raulvidis/openclaw-multi-agent-kit --skill research-intelgit clone --depth 1 https://github.com/raulvidis/openclaw-multi-agent-kitWrote 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/raulvidis/openclaw-multi-agent-kit/research-intel)<a href="https://agentmods.dev/skills/raulvidis/openclaw-multi-agent-kit/research-intel"><img src="https://agentmods.dev/badge/skills/raulvidis/openclaw-multi-agent-kit/research-intel.svg" alt="Measured on agentmods" 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 | $0.00032 | $0.00174 |
| Opus 5 | $0.00016 | $0.00087 |
| Sonnet 5 | $0.00006 | $0.00035 |
| Haiku 4.5 | $0.00003 | $0.00017 |
Grade A, and why
research-intel 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 7d 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
Install
Copy to agents/<researcher>/skills/research-intel/SKILL.md. Requires web search tool access.
Research Intel Skill
Output Schema
Return in this order:
- Key signal
- Why it matters now
- Evidence bullets
- Confidence score (0-100)
- Contrarian risk
- Recommended next action
Source Hygiene
- Prefer primary sources first.
- Separate facts from inference.
- Mark outdated or weak sources explicitly.
Escalation Rule
If confidence < 60, return "needs validation" and request targeted follow-up queries.
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.
- 7d ago First seen · 33 lines · 32 tokens per session scan A 117d68e14e69
research-intel is a skill published in the GitHub repository raulvidis/openclaw-multi-agent-kit (394 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 174 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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