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 hashook_type,text,citations, and optionalpaper_id/evidence_id/pointer)
Workflow
- •Read
outline/evidence_drafts.jsonl. - •Prefer anchors that contain:
- •a number (%, counts, scores)
- •an explicit benchmark/dataset/metric name
- •an explicit limitation/failure statement
- •Filter anchors to only citation keys present in
citations/ref.bib. - •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