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BF autocraft

AutoCraft AI project execution platform. Empower non-technical product managers to drive complex software development with 3-6x efficiency. Real case: Built DeepTutor-Lite education platform in 10 days (71 tasks, 99% success rate). Innovations: 4-level project management, responsibility separation model, intelligent verification, task locking.

ClawHub Agent Skills author: Robin-Chen2025 v2.1.0 MIT-0 80 files · 1 script body ≈ 3 743 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: references/task-creator/SKILL.md, references/ac-agent-guide/SKILL.md, scripts/architecture-check/architecture_check.py

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
79/100
safety, quality, tests
Safety 60%
99
Quality 40%
49
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: references/task-creator/SKILL.md, references/ac-agent-guide/SKILL.md, scripts/architecture-check/architecture_check.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-background-process install.sh:79
    Starts a background / autostarted process
    nohup npm run dev > /tmp/autocraft_frontend.log 2>&1 &

Files scanned: 72. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 3, column 14: description: AutoCraft AI project execution platform. Empower non-technical pro… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/task-creator/SKILL.md
  • warning missing-ref reference to a missing file: references/ac-agent-guide/SKILL.md
  • warning missing-ref reference to a missing file: scripts/architecture-check/architecture_check.py
  • warning missing-ref reference to a missing file: templates/fastapi-module/router_template.py
  • warning missing-ref reference to a missing file: templates/fastapi-module/service_template.py
  • warning missing-ref reference to a missing file: templates/fastapi-module/test_template.py
  • warning missing-ref reference to a missing file: templates/config-templates/pytest.ini
  • warning missing-ref reference to a missing file: templates/architecture-rules/architecture_rules.md
  • warning missing-ref reference to a missing file: scripts/architecture-check/

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/task-creator/SKILL.md, references/ac-agent-guide/SKILL.md, scripts/architecture-check/architecture_check.py
  • 0Tools and files. 9 referenced file(s) missing: references/task-creator/SKILL.md, references/ac-agent-guide/SKILL.md, scripts/architecture-check/architecture_check.py
  • 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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 100Steps. 39 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3743 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • 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
  • -2localhost URLs: will not work for another user
  • +2Single-language instructions
  • +3Description length 345: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 39 items
  • +4Has examples (11 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 49.

External checks

ClawHub: suspicious
AutoCraft looks like a real project-automation skill, but its installer pulls and runs unpinned external code and starts network services, so it should be reviewed before use.
LLM: suspicious (high) · VirusTotal: · 28 May 2026