mcpbeat

Citation Diversifier

willoscar/citation-diversifier

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5k tokens
context cost
the whole folder, loaded on every use
2
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
496
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill citation-diversifier

What comes with it

13 812 bytes besides the instruction
scripts/run.py

The instruction itself

12 sections, as written by the author

Citation Diversifier (budget-as-constraints) [NO NEW FACTS]

Purpose: fix a common survey failure mode:

  • the draft reads under-cited (or reuses the same few citations everywhere)
  • the pipeline fails the global unique-citation gate

This skill does not change prose by itself.

It produces a constraint sheet: output/CITATION_BUDGET_REPORT.md.

Inputs

  • output/DRAFT.md
  • outline/outline.yml (H3 ids/titles; used to allocate budgets per subsection)
  • outline/writer_context_packs.jsonl (source of allowed_bibkeys_{selected,mapped,chapter,global} per H3)
  • citations/ref.bib

Output

  • output/CITATION_BUDGET_REPORT.md

Non-negotiables (NO NEW FACTS)

  • Only propose citation keys that exist in citations/ref.bib.
  • Only propose keys that are in-scope for the target H3 (prefer subsection-first scope; use chapter/global only when truly cross-cutting).
  • Do not propose “padding citations” that would require adding new claims or new numbers.

What a good budget report looks like (contract)

The report should feel like a *constraint sheet*, not a random list:

  • It states the blocking policy target and the gap-to-target (how many unique keys are missing; policy default is recommended).
  • For each H3, it proposes a scope-safe budget sized to actually close the gap:
  • small gaps: 3-6 keys / H3 is often enough
  • course_paper: cap suggestions at 3-6 keys / H3 and target the profile's 24/32 global budget
  • A150++ gaps: plan for ~6-12 keys / H3 (and avoid duplicates across H3 budgets)
  • It gives placement guidance (where in the subsection those keys can be embedded without adding new facts).

Canonical (parseable) lines required (downstream validators depend on these):

  • The target is derived from queries.md:citation_target (recommended by default for A150++).
  • - Global target (policy; blocking): >= <N> ...
  • - Gap: <K> (gap-to-target; if 0, injection can be a no-op PASS)

Optional (always reported; may be blocking depending on citation_target):

  • - Global recommended target: >= <N> ...
  • - Gap to recommended: <K>

Recommended prioritization (scope-safe):

  • allowed_bibkeys_selectedallowed_bibkeys_mappedallowed_bibkeys_chapter
  • Use allowed_bibkeys_global only for:
  • benchmarks/protocol papers
  • widely-used datasets/suites
  • cross-cutting surveys/method papers referenced across chapters

How this connects to writing (LLM-first)

After you generate the budget report:

  • Apply it using citation-injector (LLM edits to output/DRAFT.md, NO NEW FACTS).
  • Then run draft-polisher to remove any “budget dump voice” while keeping citation keys unchanged.

Important: citation-injector is LLM-first. Its script is validation-only.

Workflow

1) Diagnose the global situation

  • Read output/DRAFT.md and estimate the “unique-key gap” (or use pipeline-auditor’s FAIL reason).

2) Allocate budgets per H3 (scope-first)

  • Use outline/outline.yml to enumerate H3s in paper order.
  • For each H3, read its allowed key sets from outline/writer_context_packs.jsonl.
  • Pick a small set of *unused* keys that strengthen positioning without requiring new claims.

3) Write output/CITATION_BUDGET_REPORT.md

Required structure:

  • - Status: PASS|FAIL
  • - Global target (policy; blocking): >= <N> ...
  • - Gap: <K>
  • ## Summary (gap + strategy)
  • ## Per-subsection budgets (H3 id/title → suggested keys → placement hint)

Script (optional; deterministic report generator)

If you want a deterministic first-pass budget report, run the helper script. Treat it as a baseline and refine the plan as needed.

Quick Start

  • uv run python .codex/skills/citation-diversifier/scripts/run.py --help
  • uv run python .codex/skills/citation-diversifier/scripts/run.py --workspace <workspace>

All Options

  • --workspace <dir>
  • --unit-id <U###> (optional)
  • --inputs <semicolon-separated> (rare override; prefer defaults)
  • --outputs <semicolon-separated> (rare override; default writes output/CITATION_BUDGET_REPORT.md)
  • --checkpoint <C#> (optional)

Examples

  • Default IO:
  • uv run python .codex/skills/citation-diversifier/scripts/run.py --workspace <workspace>

Done criteria

  • output/CITATION_BUDGET_REPORT.md exists and has actionable, in-scope budgets.
  • After applying the plan via citation-injector, pipeline-auditor no longer FAILs on global unique citations.

How to use it

Copy the folder

Take willoscar/citation-diversifier from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.