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/helderberto/agent-skills/researchnpx skills add helderberto/agent-skills --skill researchgit clone --depth 1 https://github.com/helderberto/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/helderberto/agent-skills/research)<a href="https://agentmods.dev/skills/helderberto/agent-skills/research"><img src="https://agentmods.dev/badge/skills/helderberto/agent-skills/research.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 | $0.00069 | $0.00241 |
| Opus 5 | $0.00034 | $0.00120 |
| Sonnet 5 | $0.00014 | $0.00048 |
| Haiku 4.5 | $0.00007 | $0.00024 |
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 4d 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
Spin up a background agent to do the reading, so the user keeps working while it investigates.
Give the agent this job:
- Investigate against primary sources — official docs, source code, specs, first-party APIs — never a secondary write-up of them. Follow every claim back to the source that owns it.
- Write the findings to a single Markdown file, citing each claim's source inline (link or path).
- Save it where the repo already keeps such notes. Match the existing convention; if there is none, put it in
.specs/research/<slug>.mdand say where.
Report the file path back when the agent finishes. Don't summarize the findings inline unless asked — the cited file is the deliverable.
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.
- 4d ago First seen · 18 lines · 69 tokens per session scan A 59c708586bb0
research is a skill published in the GitHub repository helderberto/agent-skills (14 stars, last pushed 3d ago), licensed MIT. It adds 69 tokens to every session and 241 once invoked, about $0.0003 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.
Other skills, from other repositories
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hcom-agent-messaging
Multi-agent communication for AI coding tools. Agents message, watch, and spawn each other across terminals. Use when setting up hcom, troubleshooting delivery, or writing multi-agent scripts.
env-scanner
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scan
Scan your AI coding tool ecosystem — Gemini CLI, Claude Code, Antigravity (Desktop, CLI, IDE), Continue, Windsurf, JetBrains AI, OpenCode. Produces a maturity score, advisory recommendations, and optionally generates reusable SKILL.md files from your conversation patterns. Use when the user asks to audit their…
make-decision
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problem-solving-pro
Systematic problem-solving toolkit: root cause analysis, hypothesis testing, debugging strategies, critical thinking frameworks. Use when user says "solve", "analyze", "diagnose", "debug", "figure out", "what's wrong", "root cause", "why is this happening", "I'm stuck", "break down", "decompose", "structure", "tại sao…