AF project-factory
Bootstrap a new OpenClaw automation project using a four-phase workflow: Phase 0 — LLM reasoning: infer project type, flowchart structure, and node draft from a plain-language description, Phase 1 — confirm or edit the flowchart from Phase 0, Phase 2 — configure each node (skill, cron, credentials), Phase 3 — generate the full project scaffold in one pass. Phase 0 model is configurable: defaults to MiniMax-M2.5 (FAST), upgrade to GPT-4.1 (SMART) for complex projects. Use when the user says "创建新项目", "new project", "新建项目", "项目初始化", "设计一个新流程", "帮我画个流程", or asks to automate a new workflow. Triggers whenever a new project, new automation, or new content pipeline is discussed.
As a process F 46/100 · Will not run — References files that are not bundled: scripts/run_pipeline.sh, scripts/<project>_bot.py
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 13. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: scripts/run_pipeline.sh - warning
missing-refreference to a missing file: scripts/<project>_bot.py
Process rating: all ten parameters 46/100
- 0Tools and files. 2 referenced file(s) missing: scripts/run_pipeline.sh, scripts/<project>_bot.py
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 11 mutating operations with no state check
- 70When it triggers. States when to use, but not when not to
- 85Steps. 57 steps, 1 vague phrases
- 100Failures and branches. 7 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3348 tokens
- 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -34 of 5 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 679: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 57 items
- +4Has examples (9 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.