Repo
https://github.com/Vincentwei1021/video-shotcraft
| Field |
Value |
| Stars |
3749 |
| NL Artifacts |
116 |
Next Steps
- Review the repo — check CONTRIBUTING.md, recent activity, PR history
- If worthy: add label
audit-ready to trigger the audit workflow
- If not: close this issue
Checklist
Why this was seeded by hand
auditor-discover could not have found this repo. The artifact probe scored it 1 (.claude-plugin/plugin.json alone), below the MIN_ARTIFACTS=5 floor, because no pattern anchored at a repo-root SKILL.md — the canonical single-skill layout in the open Agent Skills spec. The probe is fixed in the same PR as this seed (now scores 2), but 2 is still under the floor: the repo's real NL surface is a 104-card references/shots/ tree that no probe pattern reaches. See the PR for that open design question.
Pre-seed review (manual audit at 0022ec4)
| Check |
Result |
bin/nlpm-check |
clean — 0 high / 0 medium / 0 low |
| Security |
PASS — no Critical or High patterns; no hooks, no MCP, no install scripts |
| NL Score |
98 — SKILL.md 95, .claude-plugin/plugin.json 100, agents/openai.yaml 100 |
| Contribution |
1 finding, PR opened: Vincentwei1021/video-shotcraft#28 |
The audit workflow should re-derive all of this independently — the numbers above are from a hand pass over 3 artifacts and are not a substitute for the pipeline's own scorer, which will sample more of the corpus.
Expected to clear the exemplar gate (score >= 90, security != BLOCKED). Candidate rules to exemplify: R01 (zero vague quantifiers corpus-wide), R05 (205-line router over a 1,634-line reference layer), R07 (the 何时读哪个文件 dispatch table), R37 (104/104 reference pointers resolve; every numeric claim exact).
Repo
https://github.com/Vincentwei1021/video-shotcraft
Next Steps
audit-readyto trigger the audit workflowChecklist
echo719x2,tura-ai-agent,sarff0); no CONTRIBUTING.md / CLA gateWhy this was seeded by hand
auditor-discovercould not have found this repo. The artifact probe scored it 1 (.claude-plugin/plugin.jsonalone), below theMIN_ARTIFACTS=5floor, because no pattern anchored at a repo-rootSKILL.md— the canonical single-skill layout in the open Agent Skills spec. The probe is fixed in the same PR as this seed (now scores 2), but 2 is still under the floor: the repo's real NL surface is a 104-cardreferences/shots/tree that no probe pattern reaches. See the PR for that open design question.Pre-seed review (manual audit at
0022ec4)bin/nlpm-check.claude-plugin/plugin.json100,agents/openai.yaml100The audit workflow should re-derive all of this independently — the numbers above are from a hand pass over 3 artifacts and are not a substitute for the pipeline's own scorer, which will sample more of the corpus.
Expected to clear the exemplar gate (score >= 90, security != BLOCKED). Candidate rules to exemplify: R01 (zero vague quantifiers corpus-wide), R05 (205-line router over a 1,634-line reference layer), R07 (the 何时读哪个文件 dispatch table), R37 (104/104 reference pointers resolve; every numeric claim exact).