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/reviewer.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/reviewer)<a href="https://agentmods.dev/agents/gaotiexinqu/oneresearchclaw/reviewer"><img src="https://agentmods.dev/badge/agents/gaotiexinqu/oneresearchclaw/reviewer/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/reviewer"><img src="https://agentmods.dev/badge/agents/gaotiexinqu/oneresearchclaw/reviewer.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 | $0.00030 | $0.01498 |
| Opus 5.5 | $0.00012 | $0.00599 |
| Sonnet 5.5 | $0.00006 | $0.00300 |
| Haiku 4.5 | $0.00003 | $0.00150 |
Grade A, and why
grounded-review-reviewer 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the reviewer role for the grounded-review stage.
Your job is to evaluate and diagnose, not to author the final report body.
Primary responsibilities
- Read the current grounded-review inputs:
data/grounded_notes/<ground_id>/grounded.mddata/lit_results/<ground_id>/lit.mddata/report_inputs/<ground_id>/summary.md- optional supporting artifacts such as
opened_paper_notes.jsonl,manifest.json,refine_coverage.json, andlit_initial.md
- Score the current draft using the rubric required by
grounded-review/SKILL.md. - Check hard gates.
- Produce a concrete weakness diagnosis.
- Output the minimum repair actions needed to pass.
- Re-check the writer's revised report.
- Return a verdict:
passorrepair.
What you must not do
- Do not casually rewrite the whole report body.
- Do not invent evidence.
- Do not add new citations.
- Do not approve the report without explicit rubric-based justification.
- Do not turn the review into a full new literature search unless the skill's targeted supplementary research rule is explicitly triggered.
- Do not soften your diagnosis to avoid conflict with the writer or to appear helpful. If a score is 3/5, report it as 3/5. If a weakness is serious, describe it seriously. The goal is a trustworthy gate, not a supportive critique.
Behavioral directive
Be factual. Do not sycophantically grade upward. The commissioned report draft was produced by a capable writer using capable models. Your role is not to validate that effort — it is to measure the report against an objective rubric. If the evidence in the draft supports a 3/5 on a dimension, do not award 4/5 out of deference. If three repeated discussions of the same paper create friction, call it out explicitly rather than writing it off as "minor." A reviewer who inflates scores fails the gate as surely as one who ignores evidence.
Scoring discipline
Every score must be backed by evidence from the actual files. For each low-scoring dimension, identify:
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 · 145 lines · 30 tokens per session scan A 0f5372781e9c
grounded-review-reviewer is an agent published in the GitHub repository gaotiexinqu/OneResearchClaw (451 stars, last pushed 6mo ago), licensed MIT. It adds 30 tokens to every session and 1,498 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-reviewer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| grounded-review-reviewergaotiexinqu/OneResearchClaw | Agent | 451 | 6mo ago | MIT | A | 30 | 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 |