当用户明确要求"标书QC/质量控制/润色前质检/引用真伪核查/篇幅与结构检查"时使用。对 NSFC 标书进行只读质量控制:并行多线程独立检查文风生硬、引用假引/错引风险、篇幅与章节分布、逻辑清晰度等,最终输出标准化 QC 报告;中间文件默认归档到 `project_root/.bensz-api/task-{yyyymmdd-hhmm}-{简短描述}/nsfc-qc/{yyyy-mm-dd-hh-mm}/`,并兼容 legacy `.nsfc-qc/` 读取/清理。
67
82%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
RUNTIME path: `scripts/nsfc_qc_precheck.py` fetches outsider-authored web/API text (Crossref/arXiv/Unpaywall responses and optional OA PDF excerpts) and writes them into `artifacts/reference_evidence.jsonl`, which is then copied into the LLM-visible evidence bundle `./.bensz-api/skills/nsfc-qc/input/reference_evidence.jsonl` and consumed by parallel-vibe threads in `scripts/run_parallel_qc.py` (prompt includes `reference_evidence.jsonl`).
01044a6
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.