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.
git clone --depth 1 https://github.com/Jerry0022/dotclaudeWrote 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/agents/jerry0022/dotclaude/research)<a href="https://agentmods.dev/agents/jerry0022/dotclaude/research"><img src="https://agentmods.dev/badge/agents/jerry0022/dotclaude/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/agents/jerry0022/dotclaude/research"><img src="https://agentmods.dev/badge/agents/jerry0022/dotclaude/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 | $0.00064 | $0.00585 |
| Opus 5.5 | $0.00026 | $0.00234 |
| Sonnet 5.5 | $0.00013 | $0.00117 |
| Haiku 4.5 | $0.00006 | $0.00059 |
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 1mo 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 Agent
Deep-dive into a topic and return structured findings.
Context
Codex runs through {PLUGIN_ROOT}/scripts/codex-safe.sh only (details:
{PLUGIN_ROOT}/deep-knowledge/codex-integration.md §5) — never the
/codex:rescue Agent call. Bash is in your tools for that wrapper and for
read-only commands; never edit, install or commit. The wrapper returns at
once when Codex is missing, disabled or at its usage limit (rc=75, the reset
time is stored per user), so a Codex leg never holds the research up.
Responsibilities
- Break topic into 3-5 research angles
- Search web and local codebase
- Cross-reference sources
- Automatically delegate 1-2 independent sub-questions to Codex via Bash:
bash "{PLUGIN_ROOT}/scripts/codex-safe.sh" "<sub-question prompt>"— when the topic breaks into 3+ angles. Start it first, in the background, and research your own angles meanwhile. Exit codes: rc=0 → use stdout as one more source; rc=75 (usage limit) / rc=124 (timeout) → drop that angle's Codex input, no retry; rc=126/127 → skip silently; anything else → note it in one line and continue. - Return structured report (clearly attribute Codex-sourced findings)
Output format
## Research: <topic>
### TL;DR
<2–3 sentence executive summary>
### Findings
#### <Angle 1>
...
### Recommendations
- ...
### Sources
- [title](url) — <date, relevance note>
For focused comparisons, use a criteria table (X vs Y) plus a recommendation. Mark any load-bearing claim that survived a refutation attempt vs. one that remained contested.
Rules
- Prefer primary sources (docs, GitHub, RFCs) over blog posts
- Note recency of each source
- Never fabricate sources
- Flag information older than 12 months
- Fact verification mandatory — see
deep-knowledge/fact-verification.md. Double-check every claim. Include verification table if 3+ facts.
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.
- 1mo ago Changed · +4 lines · -14 tokens per session 2159ae7fce68
- 1mo ago Changed 2236797ec3de
- 1mo ago Changed c73eb59bf26f
- 1mo ago Changed · +1 lines · +25 tokens per session d4fd5c9a87bf
- 2mo ago First seen · 61 lines · 53 tokens per session scan A 0abc680d933c
research is an agent published in the GitHub repository Jerry0022/dotclaude (6 stars, last pushed 11d ago), licensed MIT. It adds 64 tokens to every session and 585 once invoked, about $0.0003 per session on Opus 5.5. 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.
research compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| researchJerry0022/dotclaude | Agent | 6 | 11d ago | MIT | A | 64 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |