44818a3f04
- threat-db v2.8.0: GhostClaw campaign, Fake OpenClaw Installer, CVE-2026-24910 (Bun), T017 Shadow MCP, T018 AI Search Poisoning, Jozu Agent Guard, MCP Sentinel - Claude Code releases tracked to v2.1.78 (StopFailure hook, plugin state, security fixes) - 19 skill descriptions improved (PR #9 selective merge, @popey/Tessl) - MCP vs CLI token overhead corrected (lazy loading, 85% reduction benchmark) - Agent Adoption Curve self-assessment (7-level maturity scale, Martignole framework) - ctx7 CLI section §5.5 + resource evals #079 #080 #081 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Resource Evaluation #080 — Goose (Block): Open-Source AI Coding Agent
Source: block.github.io/goose / github.com/block/goose Type: Open source tool (Apache 2.0) — on-machine AI coding agent Author: Block (formerly Square) — maintained by Block's engineering team Evaluated: 2026-03-17 Maturity at evaluation: Launched officially January 2025, 33,166 stars, 3,058 forks
Summary
- On-machine AI coding agent: local-first CLI + desktop app, not cloud. Automates complex engineering tasks end-to-end
- Model-agnostic: works with Claude (recommended for tool calling), GPT-4o, Gemini, Groq, local models (Ollama) — 20+ providers
- Recipes: versionable, shareable, parameterized multi-step workflows. Distinct from "rules files" — recipes define what agents do, not how they behave
- Subagent orchestration: spawn specialized agents autonomously or via sub-recipes, with dynamic model switching per task/cost
- 1,700+ MCP servers supported (first open source agent to support MCP, January 2025)
- Goose Grant Program: Block funds developers building Goose extensions (launched July 2025)
- Custom Distributions: teams can build branded Goose distros with preconfigured providers, extensions, and branding
- Backed by Block (Square, Cash App) — institutional engineering resources, not a solo project
Status in the Guide
Already documented: guide/ecosystem/ai-ecosystem.md §11.1 "Goose: Open-Source Alternative (Block)"
The entry exists and is structurally sound. The issue is outdated data and two missing feature callouts.
Relevance Score
| Score | Meaning |
|---|---|
| 5 | Essential — Major gap in the guide |
| 4 | Very relevant — Significant improvement needed |
| 3 | Pertinent — Useful complement |
| 2 | Marginal — Secondary information |
| 1 | Out of scope — Not relevant |
Final score: 4/5 (Update existing entry)
Justification: Goose is already documented. Score reflects the importance of keeping the entry current — at 33k stars (2x what the guide says), Goose is clearly not a niche alternative. The missing Recipes and subagent orchestration paragraphs are also directly relevant to a guide that extensively documents Claude Code's equivalent patterns (skills, slash commands, multi-agent).
What Needs Updating in §11.1
1. Stats (outdated)
| Field | Current guide (Jan 2026) | Actual (Mar 2026) |
|---|---|---|
| GitHub Stars | 15,400+ | 33,166 |
| MCP servers | 3,000+ (table) vs 1,700+ (inconsistency) | 1,700+ (per Goose docs) |
| Releases | 100+ | ~175+ (estimated, fast release cadence) |
Fix: Update the metrics table and resolve the 3,000 vs 1,700 MCP inconsistency.
2. Recipes — missing
Recipes are Goose's equivalent of Claude Code slash commands + skills combined. They are:
- Versionable, shareable as standalone workflows
- Importable via deeplinks
- Parameterized (reusable across contexts)
- Can be shared across teams
This is directly relevant to a guide section that extensively documents commands and skills. One paragraph with a cross-reference to §3 (commands) and §4 (skills) is warranted.
3. Subagent orchestration — missing
Goose's July 2025 roadmap introduced subagent orchestration: spawn specialized sub-agents (Planner, Architect, Frontend Dev, Backend Dev) with dynamic model switching per agent. Example from Berkeley Agentic AI Summit: 7 agents collaboratively built a full-stack app in under an hour.
This overlaps with Claude Code's own multi-agent patterns (§9). A one-paragraph callout with a comparison to Claude Code's Agent tool would help readers understand the architectural difference (Claude Code: single agent + Tool spawning vs Goose: recipe-defined multi-agent subflows).
4. agentskills.io — verify live status
The "Skill Portability" paragraph references agentskills.io. Verified live (2026-03-17). No change needed.
Challenge (technical-writer agent)
Score confirmed: 4/5 (update pass)
Key points:
- 15.4k → 33k stars: 2x undercount signals the section hasn't been maintained. Trust erosion, not just a metric miss.
- MCP discrepancy (3,000 vs 1,700): one of these is wrong. Fix before any update goes live.
- Recipes and subagents absent: closest Goose analogy to Claude Code's skills + multi-agent. Should be documented.
- Risk of not updating: low urgency for readers, moderate for guide credibility as a current reference.
- Scope: 30-minute update pass, not a restructure.
Fact-Check
| Claim | Verified | Source |
|---|---|---|
| 33,166 GitHub stars | Verified | GitHub API (2026-03-17) |
| 3,058 forks | Verified | GitHub API |
| Apache 2.0 license | Verified | GitHub API + README |
| Rust (primary language) | Verified | GitHub API (language: "Rust") |
| Created August 2024, launched Jan 2025 | Verified | GitHub API + "1 Year of goose" discussion (Jan 2026) |
| First open source agent to support MCP | Claimed | "1 Year of goose" GitHub discussion |
| 1,700+ MCP servers | Per Perplexity (sourced from Goose docs) | Cross-check recommended |
| Claude 3.5 Sonnet recommended for tool calling | Claimed | Perplexity search citing Goose docs |
| Goose Grant Program (July 2025) | Verified | block.xyz/inside/introducing-the-goose-grant-program |
| agentskills.io live | Verified | HTTP fetch (2026-03-17) |
| Dynamic model switching per subagent | Claimed | GitHub roadmap discussion #3319 |
MCP server count discrepancy: Guide says 3,000+ (comparison table), Perplexity reports 1,700+ from Goose docs. Need to check Goose documentation directly before updating. Use the more conservative figure if unsure.
Final Decision
- Final score: 4/5
- Action: Update existing
guide/ecosystem/ai-ecosystem.md§11.1 — stats refresh + Recipes paragraph + subagent orchestration paragraph - Confidence: High on stats, medium on MCP server count (needs direct doc check)
- Priority: Medium — not urgent, but a 2x star count delta is worth fixing promptly