Agent skill

anchor-sheet

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. **Trigger**: anchor sheet, anchor facts, numeric anchors, evidence hooks, 写作锚点, 数字锚点, 证据钩子. **Use when**: `outline/evidence_drafts.jsonl` exists and you want stronger, evidence-anchored writing in `sections/*.md`. **Skip if**: evidence packs are incomplete (fix `evidence-draft` first). **Network**: none. **Guardrail**: NO PROSE; do not invent facts; only select from existing evidence snippets/highlights.

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Install this agent skill to your Project

npx add-skill https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/anchor-sheet

SKILL.md

Anchor Sheet (evidence → write hooks) [NO PROSE]

Purpose: make “what to actually say” explicit:

  • select quantitative snippets (numbers/percentages)
  • select evaluation anchors (benchmarks/datasets/metrics)
  • select limitations/failure hooks

This prevents the writer from producing paragraph-shaped but content-poor prose.

Inputs

  • outline/evidence_drafts.jsonl
  • citations/ref.bib

Outputs

  • outline/anchor_sheet.jsonl

Output format (outline/anchor_sheet.jsonl)

JSONL (one object per H3 subsection).

Required fields:

  • sub_id, title
  • anchors (list; each anchor has hook_type, text, citations, and optional paper_id/evidence_id/pointer)

Workflow

  1. Read outline/evidence_drafts.jsonl.
  2. Prefer anchors that contain:
    • a number (%, counts, scores)
    • an explicit benchmark/dataset/metric name
    • an explicit limitation/failure statement
  3. Filter anchors to only citation keys present in citations/ref.bib.
  4. Write outline/anchor_sheet.jsonl.

Quality checklist

  • Every H3 has >=10 cite-backed anchors (A150++ hard target).
  • At least 1 anchor contains digits when the evidence pack contains digits.
  • No placeholders (TODO/…/(placeholder)).

Consumption policy (for C5 writers)

Anchors are intended to prevent “long but empty” prose. Treat them as must-use hooks, not optional ideas.

Recommended minimums per H3 (A150++):

  • =3 protocol anchors (benchmark/dataset/metric/budget/tool access)

  • =3 limitation/failure hooks (concrete, not generic “future work”)

  • If digits exist in the evidence pack: include >=1 cited numeric anchor (digit + citation in the same paragraph)

Note:

  • Anchor text is trimmed for readability and does not include ellipsis markers (to reduce accidental leakage into prose).

Script

Quick Start

  • python .codex/skills/anchor-sheet/scripts/run.py --help
  • python .codex/skills/anchor-sheet/scripts/run.py --workspace workspaces/<ws>

All Options

  • --workspace <dir>
  • --unit-id <U###>
  • --inputs <semicolon-separated>
  • --outputs <semicolon-separated>
  • --checkpoint <C#>

Examples

  • Default IO:
    • python .codex/skills/anchor-sheet/scripts/run.py --workspace workspaces/<ws>
  • Explicit IO:
    • python .codex/skills/anchor-sheet/scripts/run.py --workspace workspaces/<ws> --inputs "outline/evidence_drafts.jsonl;citations/ref.bib" --outputs "outline/anchor_sheet.jsonl"

Refinement marker (recommended; prevents churn)

When you are satisfied with anchor facts (and they are actually subsection-specific), create:

  • outline/anchor_sheet.refined.ok

This is an explicit "I reviewed/refined this" signal:

  • prevents scripts from regenerating and undoing your work
  • (in strict runs) can be used as a completion signal before writing

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