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