citation-fixer

# Citation Fixer Skill > **Convention:** see [conventions/quality.md](../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](../_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 ```bash # 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) ``` ## 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`: ```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`).