---
name: Citation Injector
slug: citation-injector
category: Writing
description: Citation Injector applies a citation budget report to an existing draft by adding only in-scope citations and no new facts. Use it when a draft needs more unique citations or less citation reuse to pass a global citation gate.
github: "https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/citation-injector"
language: Python
stars: 499
forks: 39
install: "npx degit https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/citation-injector ~/.claude/skills/citation-injector"
installs_to: ~/.claude/skills/citation-injector
source_path: .codex/skills/citation-injector/SKILL.md
collection_size: 25
category_size: 1012
collection_url: "https://dirskills.com/collections/WILLOSCAR/research-units-pipeline-skills"
added: 2026-08-26T05:12:53.714Z
last_synced: 2026-08-26T05:12:53.714Z
canonical_url: "https://dirskills.com/skills/citation-injector"
---

# Citation Injector

Citation Injector applies a citation budget report to an existing draft by adding only in-scope citations and no new facts. Use it when a draft needs more unique citations or less citation reuse to pass a global citation gate.

**Install:**

```bash
npx degit https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/citation-injector ~/.claude/skills/citation-injector
```

## README

# Citation Injector (deterministic baseline edits; budget-as-constraints)

Purpose: make the pipeline converge when the draft is:
- locally citation-dense but **globally under-cited** (too few unique keys), or
- overly reusing the same citations across many subsections.

This skill is intentionally **conservative and scriptable**:
- the script edits `output/DRAFT.md` directly using the budget report as constraints
- injections stay evidence-neutral (NO NEW FACTS) and use only in-scope keys already listed for each H3

## Inputs

- `output/DRAFT.md`
- `output/CITATION_BUDGET_REPORT.md` (from `citation-diversifier`)
- `outline/outline.yml` (H3 id/title mapping)
- `citations/ref.bib` (must contain every injected key)

## Outputs

- `output/DRAFT.md` (updated in place)
- `output/CITATION_INJECTION_REPORT.md` (PASS/FAIL + what you changed)

## Non-negotiables (NO NEW FACTS)

- Only inject keys listed for that H3 in the budget report.
- Do not introduce new numbers, new benchmarks, or superiority claims.
- Do not add narration templates such as `This subsection discusses` or `Next, we examine`.
- Do not produce cite dumps like `[@a; @b; @c]` as the only citations in a paragraph.

## Paper-voice injection patterns (safe sentence shapes)

Use these as *sentence intentions* (paraphrase; do not copy verbatim).

1) Axis-anchored exemplars (preferred)
- `Systems such as X [@a] and Y [@b] instantiate <axis/design point>, whereas Z [@c] explores a contrasting point under a different protocol.`

2) Parenthetical grounding (short, low-risk)
- `The same design pressure appears in nearby systems (e.g., X [@a], Y [@b], Z [@c]).`

3) Cluster pointer + contrast hint
- `Representative implementations span both <cluster A> (X [@a], Y [@b]) and <cluster B> (Z [@c]), suggesting that the trade-off hinges on <lens>.`

4) Decision-lens pointer
- `For builders choosing between <A> and <B>, prior systems provide concrete instantiations on both sides (X [@a]; Y [@b]; Z [@c]).`

5) Evaluation-lens pointer (still evidence-neutral)
- `Across commonly used agent evaluations, systems such as X [@a] and Y [@b] illustrate how <lens> is operationalized, while Z [@c] highlights a different constraint.`

6) Contrast without list voice
- `While many works operationalize <topic> via <mechanism> (X [@a]; Y [@b]), others treat it as <alternative> (Z [@c]), which changes the failure modes discussed later.`

## Anti-patterns (high-signal “budget dump” voice)

Avoid these stems (they read like automated injection):
- `A few representative references include`
- `Notable lines of work include`
- `Concrete examples include`

If your draft contains these, rewrite them immediately using the patterns above (keep citation keys unchanged).

## Placement guidance

- Prefer inserting citations where the subsection already states a concrete contrast or decision lens.
- If you must add a new sentence/mini-paragraph, place it early (often after paragraph 1) so it reads as positioning, not as an afterthought.
- Keep injections subsection-specific: mention the subsection lens (H3 title / `contrast_hook`) so the same sentence cannot be copy-pasted into every H3.

## Workflow

1) Read the budget report (`output/CITATION_BUDGET_REPORT.md`)
- Treat `Global target (policy; blocking)` as the PASS line for the pipeline gate (derived from `queries.md:citation_target`; A150++ default: `recommended`).
- If `Gap: 0`, do nothing: write a short PASS report and move on.
- Otherwise, for each H3 with suggested keys, pick enough keys to close the gap to target:
  - small gaps: 3-6 keys / H3
  - A150++ gaps: often 6-12 keys / H3
  Prefer keys that are unused globally and avoid repeating the same new keys across many H3s.

2) Inject in the right subsection
- Use `outline/outline.yml` to confirm H3 ordering and ensure the injected sentence lands inside the correct `###` subsection.

3) Inject with paper voice
- Prefer one short, axis-anchored sentence over a long enumerator sentence.
- Keep injections evidence-neutral (NO NEW FACTS) and avoid new numbers.
- Before you commit an injected key, confirm it exists in `citations/ref.bib`.

4) Write `output/CITATION_INJECTION_REPORT.md`
- Record which H3s you touched and which keys were added.
- Mark `- Status: PASS` only when the global target is met.

5) Verify
- Rerun the validator script (below) to recheck the global target.
- Then run `draft-polisher` to smooth any residual injection voice (citation keys must remain unchanged).

## Done criteria

- `output/CITATION_INJECTION_REPORT.md` exists and is `- Status: PASS`.
- `pipeline-auditor` no longer FAILs on “unique citations too low”.

## Script (optional; deterministic injector + validator)

You usually do not run this manually; it exists so a pipeline runner can deterministically apply a baseline injection and validate the target.

### Quick Start

- `uv run python .codex/skills/citation-injector/scripts/run.py --workspace <workspace>`

### All Options

- `--workspace <dir>`
- `--unit-id <U###>` (optional; for logs)
- `--inputs <semicolon-separated>` (rare override; prefer defaults)
- `--outputs <semicolon-separated>` (rare override; default validates `output/CITATION_INJECTION_REPORT.md`)
- `--checkpoint <C#>` (optional)

### Examples

- After you generate the budget report and want the script to apply the baseline injection:
  - `uv run python .codex/skills/citation-injector/scripts/run.py --workspace <workspace>`
