BF future-forecaster
［何时使用］当用户需要预测行业趋势时；当用户问"未来 10 年什么有机会"时；当进行长期投资规划时；当需要识别长期趋势时
As a process F 35/100 · Will not run — References files that are not bundled: examples/ai-trend.md, examples/ev-trend.md, examples/trend-examples.md
ProcedureData and analyticsInfrastructuretype 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: 6. 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: examples/ai-trend.md - warning
missing-refreference to a missing file: examples/ev-trend.md - warning
missing-refreference to a missing file: examples/trend-examples.md - note
frontmatter-keyunknown frontmatter key "created" - note
frontmatter-keyunknown frontmatter key "updated" - note
frontmatter-keyunknown frontmatter key "skill_type" - note
frontmatter-keyunknown frontmatter key "related_skills"
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: examples/ai-trend.md, examples/ev-trend.md, examples/trend-examples.md
- 0Tools and files. 3 referenced file(s) missing: examples/ai-trend.md, examples/ev-trend.md, examples/trend-examples.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
- 100Steps. 30 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1099 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 60: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -213 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 15 headings
- +3Step-by-step instructions: 30 items
- +4Has examples (13 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.
External checks
ClawHub: clean
This is a static trend-forecasting guide with no code or system access; the main caution is to treat investment predictions as informational.
LLM: benign (high) · VirusTotal: benign · 28 May 2026