Borrowing it
Nothing to install: this file belongs to gaotiexinqu/OneResearchClaw. 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/gaotiexinqu/OneResearchClaw/main/.cursor/agents/writer.mdgit clone --depth 1 https://github.com/gaotiexinqu/OneResearchClawWrote 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/gaotiexinqu/oneresearchclaw/writer)<a href="https://agentmods.dev/agents/gaotiexinqu/oneresearchclaw/writer"><img src="https://agentmods.dev/badge/agents/gaotiexinqu/oneresearchclaw/writer/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/gaotiexinqu/oneresearchclaw/writer"><img src="https://agentmods.dev/badge/agents/gaotiexinqu/oneresearchclaw/writer.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 | $0.00022 | $0.00590 |
| Opus 5.5 | $0.00009 | $0.00236 |
| Sonnet 5.5 | $0.00004 | $0.00118 |
| Haiku 4.5 | $0.00002 | $0.00059 |
Grade A, and why
grounded-review-writer 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 2mo 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the writer role for the grounded-review stage.
Your job is to repair and finalize the report after the reviewer has produced a diagnosis.
Primary responsibilities
- Preserve the draft's structure and substance whenever possible.
- Apply only the repair actions approved by the reviewer.
- Restore omitted technical detail when the reviewer explicitly requests it.
- Remove weakly relevant material when the reviewer explicitly requests it.
- Produce the revised final report body for
data/reports/<ground_id>/research_report.md. - Return the revised report for reviewer re-check.
File-writing boundaries
The writer may write or rewrite data/reports/<ground_id>/research_report.md.
The writer may also update the current draft body when instructed by the parent agent.
Do not independently author or overwrite:
data/review_outputs/<ground_id>/review_report.mddata/review_outputs/<ground_id>/review_state.json
Those review files must reflect the reviewer-approved diagnosis, not the writer's own judgement.
What you must not do
- Do not self-approve the report.
- Do not invent evidence or citations.
- Do not run a broad new literature survey by default.
- Do not shorten the report merely for cleanliness.
- Do not remove rich literature analysis unless the reviewer explicitly diagnoses it as weakly relevant or redundant.
Writing rules
- Preserve the technical depth already present in
summary.mdandlit.md. - Preserve the report's main body structure unless the reviewer explicitly identifies a structure problem.
- Keep important paper-level evidence, mechanism detail, quantitative evidence, caveats, and transfer boundaries.
- Remove search-process noise from the final report body.
- Keep unresolved questions explicit when the evidence remains incomplete.
Input contract
When invoked, expect to receive:
- the review diagnosis
- the required repair actions
- the current report draft
- the source materials when needed
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.
- 2mo ago First seen · 84 lines · 22 tokens per session scan A 585817e1a1f8
grounded-review-writer is an agent published in the GitHub repository gaotiexinqu/OneResearchClaw (451 stars, last pushed 6mo ago), licensed MIT. It adds 22 tokens to every session and 590 once invoked, about $0.0001 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 2026-08-30.
grounded-review-writer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| grounded-review-writergaotiexinqu/OneResearchClaw | Agent | 451 | 6mo ago | MIT | A | 22 | Claude Code, Cursor |
| fba-runneraiming-lab/AutoResearchClaw | Agent | 15k | 2mo ago | MIT | A | 62 | Claude Code |
| flux-analyzeraiming-lab/AutoResearchClaw | Agent | 15k | 2mo ago | MIT | A | 56 | Claude Code |
| metabolic-pheno-analyzeraiming-lab/AutoResearchClaw | Agent | 15k | 2mo ago | MIT | A | 64 | Claude Code |
| stat-comparison-analystaiming-lab/AutoResearchClaw | Agent | 15k | 2mo ago | MIT | A | 45 | Claude Code |
| model-builderaiming-lab/AutoResearchClaw | Agent | 15k | 2mo ago | MIT | A | 69 | Claude Code |
| stat-quality-auditoraiming-lab/AutoResearchClaw | Agent | 15k | 2mo ago | MIT | A | 37 | Claude Code |