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      8co

      Safety Report

      OpenTangl

      @8co

      Not a code generator — an entire dev team. You write the vision, it ships the code. Autonomous builds, PRs, reviews, and merges across multiple repos. Point...

      196Downloads
      0Installs
      2Stars
      11Versions
      PDF & Documents1,388Networking & DNS1,102Writing & Content1,082Design & Prototyping842

      Security Analysis

      high confidence
      Clean0.08 risk

      The skill's declared requirements and runtime instructions are consistent with its stated purpose (autonomous development for JS/TS projects): it needs node/git/gh, reads project files, and writes OpenTangl config — nothing requested appears unrelated or excessive.

      Feb 26, 20261 files2 concerns
      Purpose & Capabilityok

      Name/description (autonomous development for JS/TS repos) matches the declared requirements: node, git, and the GitHub CLI (gh) are reasonable for detecting project type, creating repos/PRs, and merging. There are no unrelated environment variables, binaries, or install artifacts that wouldn't be needed for this purpose.

      Instruction Scopeok

      SKILL.md instructs the agent to read configuration files inside the user-provided project directory (package.json, tsconfig.json, lockfiles, etc.), create projects.yaml and vision docs in the OpenTangl root, and use gh for repo operations. The doc explicitly limits file reads to the supplied directory and requires user confirmation at each gate. These actions are within scope for a tool that configures and orchestrates multi-repo development.

      Install Mechanismok

      This is an instruction-only skill with no install spec and no downloads or archive extraction. That minimizes disk-write risk and is proportionate to an orchestrator that relies on preinstalled tools.

      Credentialsnote

      The skill requests no environment variables or tokens itself, which is appropriate. It does rely on the GitHub CLI (gh) and therefore on whatever GitHub credentials the user has configured locally; users should be aware that gh operations will use their account/credentials and permissions.

      Persistence & Privilegenote

      always:false and user-invocable:true are appropriate. Model invocation is allowed (the platform default), which means the agent could perform sequences autonomously if granted by the user; SKILL.md emphasizes waiting for confirmation at every gate, which limits autonomous actions but relies on the agent following those instructions.

      Guidance

      This skill appears internally consistent, but review and control what it can access before use: 1) Only run it against repositories you can afford to change — try a disposable/test repo first. 2) Confirm your GitHub CLI (gh) is authenticated and check what account/organization it will act as; limit token scopes if possible. 3) Inspect the generated projects.yaml and docs/environments/* files before allowing automated runs or merges. 4) Keep backups or protected branches for important repos and consider requiring human approval for merges in production branches. 5) If you want stricter guarantees, ask the agent to show every planned commit/PR and require explicit user approval before creating or merging them.

      Latest Release

      v0.1.10

      Add searchable tags and category. Expand description for vector search discoverability. Add step-by-step flow guardrail.

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