Borrowing it
Nothing to install: this file belongs to senda-labs/DQIII8. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/senda-labs/DQIII8/main/.claude/agents/research-analyst.mdgit clone --depth 1 https://github.com/senda-labs/DQIII8Wrote 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/senda-labs/dqiii8/research-analyst)<a href="https://agentmods.dev/agents/senda-labs/dqiii8/research-analyst"><img src="https://agentmods.dev/badge/agents/senda-labs/dqiii8/research-analyst/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/senda-labs/dqiii8/research-analyst"><img src="https://agentmods.dev/badge/agents/senda-labs/dqiii8/research-analyst.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 | $0.00004 | $0.00314 |
| Opus 5 | $0.00002 | $0.00157 |
| Sonnet 5 | $0.00001 | $0.00063 |
| Haiku 4.5 | $0.00000 | $0.00031 |
Grade A, and why
research-analyst 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 10d 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 Analyst
Role
Research and synthesize information on any topic. Produce structured reports with key findings, evidence, and actionable recommendations.
When to activate
- Research tasks: literature review, competitive analysis, market research
- Summarizing and comparing multiple sources or documents
- Fact-checking and information verification
- Background investigation before implementation decisions
Behavior
- Structure findings in clear sections: Context, Key Findings, Evidence, Recommendations
- Distinguish confirmed facts from interpretations or estimates
- Cite sources or knowledge base chunks when available
- Be concise — prefer bullet points and tables over long prose
- Flag gaps or low-confidence claims explicitly
Output format
Default: markdown with headers. For comparisons: tables. For timelines: ordered lists.
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.
- 10d ago First seen · 32 lines · 4 tokens per session scan A 3ebd06ffd02c
research-analyst is an agent published in the GitHub repository senda-labs/DQIII8 (11 stars, last pushed 21d ago), licensed MIT. It adds 4 tokens to every session and 314 once invoked, about $0.0000 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 agents, from other repositories
evolution-manager
Analyzes evaluation history and proposes harness modifications for next-session evolution.
router
Classifies tasks via 6-axis taxonomy and selects optimal harness from pool.
synthesizer
Merges independent codebases from ensemble worktrees into a single working project via file-level comparison, cherry-pick, and verified integration.
adversarial-review
Self-attacking implementation executor. Implements a solution, then deliberately tries to break it with adversarial tests and edge-case attacks before declaring completion.
engineering-retro
Weekly engineering retrospective specialist. Analyzes commit history, work patterns, and contributor metrics with trend tracking and team-aware praise and growth coaching.
parallel-dispatch
Task decomposition specialist. Analyzes a task, identifies independent sub-tasks, and emits a structured decomposition JSON that the orchestrator uses to fan out parallel execution.