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 maher-naija-pro/claude-researcher --skill researchergit clone --depth 1 https://github.com/maher-naija-pro/claude-researcherWrote 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/maher-naija-pro/claude-researcher/researcher)<a href="https://agentmods.dev/skills/maher-naija-pro/claude-researcher/researcher"><img src="https://agentmods.dev/badge/skills/maher-naija-pro/claude-researcher/researcher/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/maher-naija-pro/claude-researcher/researcher"><img src="https://agentmods.dev/badge/skills/maher-naija-pro/claude-researcher/researcher.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 | $0.00035 | $0.01876 |
| Opus 5 | $0.00017 | $0.00938 |
| Sonnet 5 | $0.00007 | $0.00375 |
| Haiku 4.5 | $0.00003 | $0.00188 |
Grade A, and why
researcher 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Researcher
Overview
A structured research workflow that searches the web for solutions to a problem, organizes findings into a dedicated directory, tests each candidate solution, and documents results.
When to Use
- User asks to "research X", "find solutions for X", or "investigate X"
- Problem requires searching multiple sources on the internet
- User wants organized, documented findings rather than a quick answer
Core Pattern
After completing each step, pause and ask the user to confirm before proceeding to the next step.
Step 1 — Create Problem Directory
mkdir <problem_name>_problem/
Use snake_case. Keep it short and descriptive.
→ Confirm with user before proceeding.
Step 2 — Search for Solutions in Parallel
Dispatch multiple subagents (model: claude-sonnet-4-6) — one per search angle. Each subagent:
- Searches the web for candidate solutions
- Returns: solution name, summary, source URLs, and page location/section
- Sources to cover:
- Community: Stack Overflow, Reddit, Hacker News, dev.to
- Articles: Medium, InfoQ, DZone
- Code: GitHub, Papers With Code, npm/PyPI/crates.io package pages
- Academic: arXiv, Google Scholar, ResearchGate, Semantic Scholar, IEEE Xplore, ACM Digital Library, USENIX, Distill.pub
- Reference: official docs, tutorials, Wikipedia
- Video: YouTube conference talks (NeurIPS, ICML, OSDI, CCC, etc.)
Present the list of solutions found to the user.
→ Confirm with user before proceeding (user may exclude solutions).
Step 3 — Create a Directory per Solution
For each candidate solution, create:
<problem_name>_problem/
solution_<solution_name>/
README.md
documentation/
Step 4 — Gather Documentation per Solution
For each solution, dispatch one subagent (model: claude-sonnet-4-6) per source category in parallel:
- Community: Stack Overflow, Reddit, Hacker News, dev.to
- Articles: Medium, InfoQ, DZone
- Code: GitHub, Papers With Code, npm/PyPI/crates.io
- Academic: arXiv, Google Scholar, ResearchGate, Semantic Scholar, IEEE Xplore, ACM Digital Library, USENIX, Distill.pub
- Reference: official docs, Wikipedia
- Video: YouTube conference talks (NeurIPS, ICML, OSDI, etc.)
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.
- 12d ago First seen · 250 lines · 35 tokens per session scan A af1245b475cb
researcher is a skill published in the GitHub repository maher-naija-pro/claude-researcher (13 stars, last pushed 4mo ago), licensed MIT. It adds 35 tokens to every session and 1,876 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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