MaggySAFE
What started as an opinionated Claude Code setup kit is now an autonomous AI engineering command center
Overview
What started as an opinionated Claude Code setup kit is now an autonomous AI engineering command center
3a4a7596e97eOBSERVED · 2026-10-13Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| claude-code | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: maggy description: Maggy is a local AI engineering command center. AI-prioritized inbox across issue trackers (GitHub Issues/Asana), one-click TDD execute with iCPG context enrichment, daily competitor intelligence briefing. when-to-use: "When you want a persistent dashboard to triage tickets and spawn Claude Code runs against any repo" user-invocable: true effort: medium --- # Maggy Skill **Maggy** is a generic, local AI engineering command center. Install once, point it at your team's issue tracker and codebases, and get: - **AI-prioritized inbox** — ranks open issues by urgency, OKR alignment, and recency - **One-click Execute** — spawns Claude Code locally with iCPG context injected - **Competitor intelligence** — daily AI briefing on your competitive landscape - **No hardcoding** — works for any team, any stack, any issue tracker ### ⚠️ Execute permission model (important) Execute currently runs `claude -p --dangerously-skip-permissions` so the TDD pipeline isn't blocked waiting on approval prompts (subprocess has no terminal). That flag **grants Claude full permission to write/edit files and run shell commands** inside the target codebase, and the prompt it receives includes content from the issue tracker (which any team member can author). **Hardening already in place:** - `working_dir` is validated against the list of codebase roots in `~/.maggy/config.yaml` — Claude can't be pointed at arbitrary filesystem paths. - Only tickets from your configured trackers reach Execute; no public-internet input flows into the prompt. **Roadmap:** move the unconditional flag behind per-codebase config (`auto_approve: true|false`) so privileged execution becomes opt-in. Until then, treat Execute like `git pull && make` on any ticket you push the button for — only run it on repos you own, against tickets from authors you trust. ``` ┌──────────────────────────────────────────────────────────────┐ │ maggy ──────────────┐ │ │ ├── skills/ ← installed globally → ~/.claude/ │ │ ├── commands/ ← installed globally → ~/.claude/ │ │ ├── scripts/icpg/ ← used by Maggy for context enrichment │ │ └── maggy/ ← dashboard: run `./install.sh` to use │ │ ├── src/ │ │ │ ├── providers/ ← GitHub / Asana / Linear │ │ │ ├── services/ ← inbox, competitor, executor │ │ │ └── api/ ← FastAPI routes │ │ └── install.sh │ └──────────────────────────────────────────────────────────────┘ ``` --- ## When Maggy Helps | Scenario | How Maggy helps | |------------------------------------------|-----------------------------------------------| | Morning triage of 50 open issues | AI ranks them; top items stay top | | Implementing a ticket | `Execute` → iCPG-enriched TDD pipeline | | "What are competitors shipping?" | Daily briefing + filterable news feed | | Multiple repos per team | Auto-picks right repo based on ticket content | | New team onboarding | Configure via `/maggy-init`, no code writing | --- ## Install and Configure ```bash # One-time install cd $(cat ~/.claude/.bootstrap-dir)/maggy ./install.sh # Configure # Edit ~/.maggy/config.yaml — see maggy/config.example.yaml for the schema # Credentials export GITHUB_TOKEN=ghp_... export ANTHROPIC_API_KEY=sk-ant-... # Run python3 -m src.main # Or from Claude Code: # /maggy-init # interactive wizard # /maggy # launch dashboard ``` --- ## Provider Abstraction Maggy services never see GitHub/Asana directly — they talk to an `IssueTrackerProvider` Protocol. Drop-in swap between: - `GitHubIssuesProvider` — scans multiple repos, aggregates open issues, maps "done" → closed - `AsanaProvider` — queries projects, respects workspace scope - `LinearProvider` — stub for future The same inbox, Execute pipeline, and Competitor features work with any provider. --- ## Execute Pipeline When you click Execute on a ticket: 1. Maggy queries the configured iCPG for relevant symbols, blast radius, and prior intents 2. Picks the right working directory based on ticket keywords + configured codebases 3. Spawns `claude -p --dangerously-skip-permissions` in that directory 4. Runs analyze → write failing tests → implement 5. Captures output in a session you can follow in the Sessions tab Because the spawned Claude Code runs in the target repo, it picks up: - That repo's `CLAUDE.md` - Your global `~/.claude/CLAUDE.md` - All bootstrap skills - `.claude/hooks/`, `.mcp.json` So Execute gets the full bootstrap experience — not a stripped-down version. --- ## Competitor Intelligence Generic — works for any domain: 1. Configure `competitors.categories: ["fintech", "embedded-finance"]` in `~/.maggy/config.yaml` 2. Click Discover — Claude identifies 12-18 competitors (market leaders, AI-first challengers, vertical specialists) 3. Maggy monitors their RSS blogs + Google News daily 4. Daily briefing is generated once per day (cached), regeneratable on demand --- ## Not Included Maggy MVP is focused. Not shipped: - Meeting bot (voice) - Slack integration - P2P network + session handoff - Self-improvement (`/improve-maggy`) - Linear provider (stub only) These are v2 work. --- ## Files - `maggy/PLAN.md` — architecture rationale - `maggy/README.md` — user docs - `maggy/src/providers/base.py` — IssueTrackerProvider Protocol - `maggy/src/services/executor.py` — TDD pipeline - `maggy/src/services/competitor.py` — discovery + briefing - `maggy/src/services/inbox.py` — AI prioritization - `commands/maggy.md` — `/maggy` launcher - `commands/maggy-init.md` — `/maggy-init` setup wizard
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (1)
That flag **grants Claude full permission to write/edit files and run shell
Gates applied: no_behavioural_pass.
3a4a7596e97efull audit observations/trust-audit/skill/alinaqi__maggy.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-13 | 3a4a7596e97e | SAFE | B | 89 | first audit |
Questions
What does the Maggy skill do?
What started as an opinionated Claude Code setup kit is now an autonomous AI engineering command center
Is Maggy safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Maggy access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Maggy work with?
Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (3a4a7596e97e), read on 2026-10-13. The repository is watched, and a new audit runs when it changes — this is the first audit.