Agent Skills
› dartsim/dart
› dart-analyze
dart-analyze
GitHub用于在不修改代码的情况下分析仓库证据。遵循只读原则，通过检查本地状态、构建证据集并区分事实与推断，提供带置信度的排名综述，确保不执行文件编辑或外部变更。
Trigger Scenarios
用户请求分析仓库状态或代码逻辑
需要只读审查而不进行代码修改
Install
npx skills add dartsim/dart --skill dart-analyze -g -y
SKILL.md
Frontmatter
{
"name": "dart-analyze",
"description": "DART Analyze: analyze repository evidence without editing"
}
dart-analyze
Use this skill in Codex to run the DART dart-analyze workflow. The editable
workflow source currently lives in .claude/commands/, and this generated
Codex skill is a generated Codex adapter entrypoint.
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
- Restate the question and the read-only boundary. Do not edit files, stage changes, or perform GitHub, CI, branch, or review-thread mutations.
- Inspect local state enough to avoid misreading user work:
git status --short --branch git diff --stat - Build an evidence set from repository files, tests, docs, generated
artifacts, and command output. Load task-specific docs from
AGENTS.mdwhen the question names a subsystem. - 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.
- Rank explanations, risks, or options by confidence when multiple readings are plausible. Use concrete file and line references for material claims.
- If current external documentation or standards are needed for correctness, gather source-backed evidence and label date/version context explicitly.
- 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.
Version History
-
51b2d25
Current 2026-07-11 18:25
澄清AI工作流术语
- e0d13fd 2026-07-05 10:36
