Citation Fixer Skill

Convention: see conventions/quality.md for the canonical citation format every fix should match.

Output rule: all links MUST be deterministic (built from API data, not composed by LLM). See _output-rules.md.

Contract

This skill guarantees:

• Every brain page is scanned for citation compliance.
• Missing citations are flagged with specific location.
• Malformed citations are fixed to match the standard format.
• (v0.25.1) Tweet / post references without URLs are resolved via X API and patched with deterministic https://x.com/<handle>/status/<id> links.
• Results reported with counts (scanned, fixed, remaining).

Phases

1. Scan pages. List pages and read each one, checking for inline [Source: ...] citations.
2. Identify issues:
   • Facts without any citation
   • Citations missing date
   • Citations missing source type
   • Citations with wrong format
   • (v0.25.1) Tweet references without x.com URLs
3. Fix format issues. Rewrite malformed citations to match conventions/quality.md.
4. (v0.25.1) Resolve tweet references via the X API integration.
5. Report results. Count: pages scanned, citations found, issues fixed, tweets resolved, remaining gaps.

Tweet resolution pipeline (v0.25.1 extension)

For each broken tweet reference, follow this chain. The actual API call goes through whatever X integration the host has configured (typical shape: a recipe under recipes/x-api/ with handle / search-all endpoints).

Step 1: Identify broken references

Scan the page for patterns that indicate tweet references without URLs:

• Contains words like tweeted, posted, said on X, RT, retweet, X post
• Contains quoted text that looks like a tweet (short, punchy, often starts with a quote)
• Has [Source: ... X/Twitter ...] without an x.com URL
• References engagement metrics (likes, impressions) without a link

Step 2: Extract searchable content

From each broken reference, extract:

• The handle (if mentioned: @<username>)
• The quoted text (if available)
• The approximate date (often present in surrounding timeline entries)

Step 3: Search for the actual tweet

Use the host's X API integration. Query patterns:

# Handle + quoted text:
from:<handle> "<exact quote fragment>"

# Quoted text only:
"<exact quote fragment>"

# Original of a retweet:
"<exact quote>" -is:retweet

Step 4: Verify and extract metadata

Once a candidate is found:

• Confirm the text matches the quoted fragment.
• Pull the tweet id, author handle, engagement metrics (likes / RTs / impressions).
• Construct the URL: https://x.com/<handle>/status/<tweet_id>.

Step 5: Patch the brain page

Replace the broken citation with a proper one:

Before:

"<quote fragment>" [Source: <some hand-wavy attribution>]

After:

"<full verified quote>" — <N> likes, <N> RTs, <N> impressions
[Source: [X/<handle>, YYYY-MM-DD](https://x.com/<handle>/status/<tweet_id>)]

Batch mode

When sweeping many pages:

Find candidate pages

# Pages mentioning tweets but with no x.com links
for f in $(find . -name "*.md" -not -path "./node_modules/*"); do
  refs=$(grep -ci "tweet\|posted\|x post\|RT\|retweet\|said on X" "$f")
  links=$(grep -c "x.com/.*/status/" "$f")
  if [ "$refs" -gt 2 ] && [ "$links" -eq 0 ]; then
    echo "$f"
  fi
done

Priority order

1. Recently created / updated pages — fresh broken refs are easiest to resolve while context is fresh.
2. High-traffic pages (frequent reads / writes from other skills).
3. Everything else — bulk cleanup over time.

Rate limiting

• X API: respect the host's tier limits; don't hammer.
• Target ~50 pages per batch run.
• 1-3 API calls per page (search + verify).
• Batch-commit every 10-20 pages so a partial failure doesn't lose progress.

Output format

Citation Audit Report
=====================
Pages scanned:        N
Citations found:      N
Issues fixed:         N
Tweet links resolved: N
Remaining gaps:       N (pages with uncitable facts)

When it fails

Follow the agent operator protocol for any gbrain error code, exit code, [AGENT] block or notice block. Specific to this skill:

• put_page returns revision_conflict mid-batch: re-read that page, re-apply only the citation fix, and continue; never overwrite with the copy you read earlier.
• get_page returns page_not_found for a cited source: mark the citation unresolvable in the report instead of rewriting it to a guessed slug.
• A batch commit is interrupted: already-committed pages stay fixed; resume from the last committed page rather than starting over.

Anti-Patterns

• ❌ Inventing citations for facts that have no source. Flag them.
• ❌ Removing facts that lack citations (flag them; don't delete).
• ❌ Fixing citations without reading the full page context.
• ❌ Batch-fixing without checking quality on a sample first (see conventions/test-before-bulk.md).
• ❌ Composing tweet URLs by guessing the tweet id. Always go through the X API; deterministic links only.

Integration

This skill can be called:

• Manually — "fix citations on this page"
• As a batch cron — weekly sweep of pages with broken refs
• By other skills — enrich or media-ingest can call citation-fixer before commit to validate output

Metrics

If running as a recurring batch, track state in a small JSON file under ~/.gbrain/citation-fixer-state.json:

{
  "last_run": "2026-04-15T...",
  "pages_scanned": 0,
  "citations_fixed": 0,
  "tweet_links_resolved": 0,
  "citations_unresolvable": 0,
  "pages_remaining": 1424
}

Output Format

The skill's output shape is documented inline in the body sections above (see "Output", "Brain page format", or equivalent). The literal section header here exists for the conformance test (test/skills-conformance.test.ts).