BF smart-goal-setter
通用 SMART 原则目标设定助手；将模糊目标优化为具体、可衡量、可达成、相关、有时限的清晰表述，并生成关键结果与行动计划。适用于个人发展、团队管理、项目、质量改进、学习、业务等多领域，不限定质量管理。
通用 SMART 原则目标设定助手；将模糊目标优化为具体、可衡量、可达成、相关、有时限的清晰表述，并生成关键结果与行动计划。适用于个人发展、团队管理、项目、质量改进、学习、业务等多领域，不限定质量管理。
As a process F 31/100 · Will not run — References files that are not bundled: scripts/smart_validator.py, references/smart_principles.md, references/checklist.md
ProcedureWordData and analyticsAI and agentstype 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.
- 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 · 0
✓ No critical or high findings
Files scanned: 0. 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") - warning
missing-refreference to a missing file: scripts/smart_validator.py - warning
missing-refreference to a missing file: references/smart_principles.md - warning
missing-refreference to a missing file: references/checklist.md - warning
missing-refreference to a missing file: references/traps.md - warning
missing-refreference to a missing file: assets/SMART目标_输出模板.md - warning
missing-refreference to a missing file: references/examples.md - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "slug"
Process rating: all ten parameters 31/100
Will not run. References files that are not bundled: scripts/smart_validator.py, references/smart_principles.md, references/checklist.md
- 0Tools and files. 6 referenced file(s) missing: scripts/smart_validator.py, references/smart_principles.md, references/checklist.md
- 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
- 40Consistency. Frontmatter name (smart-goal-setter) differs from the folder (skill-smart-goal-setter)
- 100Steps. 46 steps
- 100Execution cost. Instruction body is 841 tokens
- 100Running it twice. No mutating operations
- low 10 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)
- +3Description length 101: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Structure: 20 headings
- +3Step-by-step instructions: 46 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 51.
External checks
ClawHub: clean
This skill is a straightforward SMART goal-setting assistant with no hidden persistence, credential use, or unrelated system access.
LLM: benign (high) · VirusTotal: · 16 Jul 2026