dartsim

dart-analyze

"DART Analyze: analyze repository evidence without editing"

dartsim 1,196 304 Updated 1mo ago
GitHub

Install

npx skillscat add dartsim/dart/dart-analyze

Install via the SkillsCat registry.

SKILL.md

dart-analyze

Use this skill in Codex to run the DART dart-analyze workflow. The editable
workflow source lives in .claude/commands/; this file is its generated adapter
in the shared .agents/skills/ catalog.

Invocation

  • Claude Code/OpenCode: /dart-analyze <arguments>
  • Codex: $dart-analyze <arguments>

Treat the text after the skill name as $ARGUMENTS. When the workflow
references $1, $2, etc., map those to the positional values supplied by the
user.

Command Body

Analyze repository evidence without editing: $ARGUMENTS

Required Reading

@AGENTS.md
@docs/ai/principles.md
@docs/ai/workflows.md
@docs/ai/verification.md
@docs/onboarding/ai-tools.md

Workflow

  1. Restate the question and the read-only boundary. Do not edit files, stage
    changes, or perform GitHub, CI, branch, or review-thread mutations.
  2. Inspect local state enough to avoid misreading user work:
    git status --short --branch
    git diff --stat
  3. Build an evidence set from repository files, tests, docs, generated
    artifacts, and command output. Load task-specific docs from AGENTS.md when
    the question names a subsystem.
  4. Separate direct evidence from inference and unknowns. Do not present an
    inference as a fact, and do not turn a read-only answer into an
    implementation plan.
  5. Rank explanations, risks, or options by confidence when multiple readings
    are plausible. Use concrete file and line references for material claims.
  6. If current external documentation or standards are needed for correctness,
    gather source-backed evidence and label date/version context explicitly.
  7. Stop when the synthesis answers the question with enough evidence, or report
    the exact proof source that is unavailable.

Output

Report:

  • the question answered and the scope inspected;
  • ranked synthesis with confidence;
  • evidence, inference, and unknowns as separate sections;
  • any discriminating read-only probe that would reduce remaining uncertainty;
  • confirmation that no local edits or external mutations were performed.