BD deeptask
AI 自动拆解需求与任务管理工具。实现 AI 自动拆解需求 → 人工审核 → AI 执行任务 → UT 验证 → **Git Commit** 的完整闭环。使用 SQLite 数据库管理项目、会话、子任务、MUF（最小功能单元）、单元测试。**核心特性：每完成一个 MUF 并通过 UT 后自动执行 git commit，commit 信息包含 SE_ID, ST_ID, MUF_ID, UT_ID**。
As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ProcedureSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 45/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 30 mutating operations with no state check
- 60Tools and files. Uses tools (git, python) that frontmatter does not declare
- 100Steps. 33 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1506 tokens
- 100Progress reporting. Reports progress
- low 11 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -42 reference files, but SKILL.md never points to them: the model will not open them
- -31 of 3 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 203: enough signal without eating the budget
- +4Structure: 40 headings
- +3Step-by-step instructions: 33 items
- +4Has examples (21 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.
External checks
ClawHub: suspicious
DeepTask is a disclosed coding automation tool, but it can run local code and automatically commit broad repository changes without strong scoping or confirmation.
LLM: suspicious (high) · VirusTotal: · 29 May 2026