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* fix(ci): resolve cross-platform test failures - Sanity check script (check-codex-global-state.sh) now falls back to grep -E when ripgrep is not available, fixing the codex-hooks sync test on all CI platforms. Patterns converted to POSIX ERE for portability. - Unicode safety test accepts both / and \ path separators so the executable-file assertion passes on Windows. - Gacha test sets PYTHONUTF8=1 so Python uses UTF-8 stdout encoding on Windows instead of cp1252, preventing UnicodeEncodeError on box-drawing characters. - Quoted-hook-path test skipped on Windows where NTFS disallows double-quote characters in filenames. * feat: port remotion-video-creation skill (29 rules), restore missing files New skill: - remotion-video-creation: 29 domain-specific Remotion rules covering 3D/Three.js, animations, audio, captions, charts, compositions, fonts, GIFs, Lottie, measuring, sequencing, tailwind, text animations, timing, transitions, trimming, and video embedding. Ported from personal skills. Restored: - autonomous-agent-harness/SKILL.md (was in commit but missing from worktree) - lead-intelligence/ (full directory restored from branch commit) Updated: - manifests/install-modules.json: added remotion-video-creation to media-generation - README.md + AGENTS.md: synced counts to 139 skills Catalog validates: 30 agents, 60 commands, 139 skills. * fix(security): pin MCP server versions, add dependabot, pin github-script SHA Critical: - Pin all npx -y MCP server packages to specific versions in .mcp.json to prevent supply chain attacks via version hijacking: - @modelcontextprotocol/server-github@2025.4.8 - @modelcontextprotocol/server-memory@2026.1.26 - @modelcontextprotocol/server-sequential-thinking@2025.12.18 - @playwright/mcp@0.0.69 (was 0.0.68) Medium: - Add .github/dependabot.yml for weekly npm + github-actions updates with grouped minor/patch PRs - Pin actions/github-script to SHA (was @v7 tag, now pinned to commit) * feat: add social-graph-ranker skill — weighted network proximity scoring New skill: social-graph-ranker - Weighted social graph traversal with exponential decay across hops - Bridge Score: B(m) = Σ w(t) · λ^(d(m,t)-1) ranks mutuals by target proximity - Extended Score incorporates 2nd-order network (mutual-of-mutual connections) - Final ranking includes engagement bonus for responsive connections - Runs in parallel with lead-intelligence skill for combined warm+cold outreach - Supports X API + LinkedIn CSV for graph harvesting - Outputs tiered action list: warm intros, direct outreach, network gap analysis Added to business-content install module. Catalog validates: 30/60/140. * fix(security): npm audit fix — resolve all dependency vulnerabilities Applied npm audit fix --force to resolve: - minimatch ReDoS (3 vulnerabilities, HIGH) - smol-toml DoS (MODERATE) - brace-expansion memory exhaustion (MODERATE) - markdownlint-cli upgraded from 0.47.0 to 0.48.0 npm audit now reports 0 vulnerabilities. * fix: resolve markdown lint and yarn lockfile sync - MD047: ensure single trailing newline on all remotion rule files - MD012: remove consecutive blank lines in lottie, measuring-dom-nodes, trimming - MD034: wrap bare URLs in angle brackets (tailwind, transcribe-captions) - yarn.lock: regenerated to sync with npm audit changes in package.json * fix: replace unicode arrows in lead-intelligence (CI unicode safety check)
86 lines
2.3 KiB
Markdown
86 lines
2.3 KiB
Markdown
---
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name: enrichment-agent
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description: Pulls detailed profile, company, and activity data for qualified leads. Enriches prospects with recent news, funding data, content interests, and mutual overlap.
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tools:
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- Bash
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- Read
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- WebSearch
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- WebFetch
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model: sonnet
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---
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# Enrichment Agent
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You enrich qualified leads with detailed profile, company, and activity data.
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## Task
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Given a list of qualified prospects, pull comprehensive data from available sources to enable personalized outreach.
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## Data Points to Collect
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### Person
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- Full name, current title, company
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- X handle, LinkedIn URL, personal site
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- Recent posts (last 30 days) — topics, tone, key takes
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- Speaking engagements, podcast appearances
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- Open source contributions (if developer-centric)
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- Mutual interests with user (shared follows, similar content)
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### Company
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- Company name, size, stage
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- Funding history (last round amount, investors)
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- Recent news (product launches, pivots, hiring)
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- Tech stack (if relevant)
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- Competitors and market position
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### Activity Signals
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- Last X post date and topic
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- Recent blog posts or publications
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- Conference attendance
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- Job changes in last 6 months
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- Company milestones
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## Enrichment Sources
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1. **Exa** — Company data, news, blog posts, research
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2. **X API** — Recent tweets, bio, follower data
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3. **GitHub** — Open source profiles (if applicable)
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4. **Web** — Personal sites, company pages, press releases
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## Output Format
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```
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ENRICHED PROFILE: [Name]
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========================
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Person:
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Title: [current role]
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Company: [company name]
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Location: [city]
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X: @[handle] ([follower count] followers)
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LinkedIn: [url]
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Company Intel:
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Stage: [seed/A/B/growth/public]
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Last Funding: $[amount] ([date]) led by [investor]
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Headcount: ~[number]
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Recent News: [1-2 bullet points]
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Recent Activity:
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- [date]: [tweet/post summary]
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- [date]: [tweet/post summary]
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- [date]: [tweet/post summary]
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Personalization Hooks:
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- [specific thing to reference in outreach]
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- [shared interest or connection]
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- [recent event or announcement to congratulate]
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```
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## Constraints
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- Only report verified data. Do not hallucinate company details.
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- If data is unavailable, note it as "not found" rather than guessing.
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- Prioritize recency — stale data older than 6 months should be flagged.
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