Borrowing it
Nothing to install: this file belongs to dengxu11111/dual-ai-paper-coach. 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/dengxu11111/dual-ai-paper-coach/main/.claude/commands/claim-check.mdgit clone --depth 1 https://github.com/dengxu11111/dual-ai-paper-coachWrote 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/commands/dengxu11111/dual-ai-paper-coach/claim-check)<a href="https://agentmods.dev/commands/dengxu11111/dual-ai-paper-coach/claim-check"><img src="https://agentmods.dev/badge/commands/dengxu11111/dual-ai-paper-coach/claim-check/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/commands/dengxu11111/dual-ai-paper-coach/claim-check"><img src="https://agentmods.dev/badge/commands/dengxu11111/dual-ai-paper-coach/claim-check.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 | $0.00021 | $0.01577 |
| Opus 5.5 | $0.00008 | $0.00631 |
| Sonnet 5.5 | $0.00004 | $0.00315 |
| Haiku 4.5 | $0.00002 | $0.00158 |
Grade A, and why
claim-check 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/claim-check — 双 AI Claim 校准
Claude 和 Codex 独立给论文 1-3 个核心 claim 打分,分歧 ≥ 20 的就是论文最脆的地方。
⚠️ 打分标杆:Science / Nature——Codex 按 S/N 审稿人的怀疑度打 evidence;S/N 标杆下 evidence ≥ 80 才算"经得起多学科读者审视"。Codex 打分偏低是设计上的特性。
步骤
步骤 1:提取 claims
读 my-paper/draft.md 的 Abstract,把 1-3 句"主张"提取成 YAML:
# my-paper/claims.yaml
claims:
- id: C1
text: "Global AOD declined 10% over 2010-2024"
section: Results §3.1
evidence_keys: [global_mean.trend_per_decade]
- id: C2
text: "Decline driven by East Asia anthropogenic reduction"
section: Discussion §4.2
evidence_keys: [regional_trends.east_asia]
- id: C3
text: "Aerosol policy has improved global air quality"
section: Conclusions §5
evidence_keys: [] # 推论性 claim,最容易被打低分
如果 claims.yaml 已存在,直接用现有的;否则你(Claude)提取并写入。
步骤 2:Claude 自评(你来做)
读 prompts/writer_system.md 但不要读 reviewer_system.md。基于 draft + analysis_results.json,给每个 claim 打两个维度:
- evidence(0-100):数据支持度
- wording(0-100):当前措辞强度(>80 = overclaim)
输出 JSON 到 my-paper/runs/<ts>/claim_score_claude.json:
{
"C1": {"evidence": 85, "wording": 80, "reason_evidence": "...", "reason_wording": "..."},
"C2": {"evidence": 75, "wording": 85, "reason_evidence": "...", "reason_wording": "..."},
"C3": {"evidence": 60, "wording": 70, "reason_evidence": "...", "reason_wording": "..."}
}
步骤 3:Codex 自评(通过 Bash 触发)
codex exec --skip-git-repo-check --sandbox workspace-write \
-c 'model_reasoning_effort="xhigh"' \
"Read AGENTS.md, my-paper/draft.md, my-paper/claims.yaml, and my-paper/data/analysis_results.json. Apply Science/Nature reviewer standards: a multidisciplinary PhD reader must find the evidence convincing. For each claim, score evidence (0-100; how strongly the data + reported statistics support the claim at S/N standard) and wording (0-100; >80 = overclaim that S/N reviewers would reject). Output JSON to my-paper/runs/<ts>/claim_score_codex.json."
关键参数(与 /codex-review 同源):
--sandbox workspace-write必须——Codex 默认沙盒只读,写不进 JSON-c 'model_reasoning_effort="xhigh"'审稿用 xhigh,默认 medium 不够严
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 · 124 lines · 21 tokens per session scan A 4f3c843c13c2
claim-check is a command published in the GitHub repository dengxu11111/dual-ai-paper-coach (12 stars, last pushed 5mo ago), licensed MIT. It adds 21 tokens to every session and 1,577 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.
claim-check compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| claim-checkdengxu11111/dual-ai-paper-coach | Command | 12 | 5mo ago | MIT | A | 21 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |