Project completed stage Artifacts into a concise human-review block in `DECISIONS.md`; use before a Workflow checkpoint, not for Workflow routing or approval.
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Prepare the review surface between machine-produced Artifacts and a human checkpoint. This Skill summarizes; it does not choose a Workflow, approve a checkpoint, or modify semantic Artifacts.
PIPELINE.lock.mdDECISIONS.mdDECISIONS.mdhuman-checkpoint owns the approval Decision.DECISIONS.md names the current checkpoint and the Artifacts reviewed.uv run python .codex/skills/checkpoint-brief/scripts/run.py \
--workspace workspaces/<name> \
--checkpoint C2 \
--inputs 'outline/taxonomy.yml;outline/outline.yml'
The Pipeline adapter supplies the current Unit's declared inputs. Manual
invocations must do the same; an empty input list is reported as unreviewable
rather than inferred from unrelated Workspace files.
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Internal template for creating or refactoring a skill into the repository's reference-first shape. **Trigger**: reference-first template, blueprint skill, create a reusable skill, refactor a script-heavy skill. **Use when**: you need a lean `SKILL.md`, explicit `references/`, machine-readable `assets/`, and a minimal deterministic `run.py`.
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Download a small corpus of open-access arXiv survey/review PDFs about agentic systems and extract text for style learning.
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Extract per-subsection “anchor facts” (NO PROSE) from evidence packs so the writer is forced to include concrete numbers/benchmarks/limitations instead of generic summaries.
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Curate reader-facing survey tables for the Appendix (clean layout + high information density), using only in-scope evidence and existing citation keys.
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Build a final, machine-readable argument snapshot from current H3 sections and refresh section fingerprints before merge.
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Audit one research Workspace for declared Unit outputs and Pipeline target Artifacts, writing `output/CONTRACT_REPORT.md`; use for mid-Run coverage snapshots or final delivery completeness, not deep provenance integrity.
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