BC fword
AI-powered bidirectional Word ↔ LaTeX converter. Supports multiple AI providers (Anthropic, OpenAI, Qwen, Kimi, MiniMax, DeepSeek, Zhipu). Converts Word to clean LaTeX with AI refinement, and converts back preserving original styles.
As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency
GeneratorLaTeXWordAI and agentsInfrastructuretype 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: 9. 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 52/100
- 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
- 40Consistency. Frontmatter name (fword) differs from the folder (fword-skill)
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 65Failures and branches. 3 branches
- 70When it triggers. States when to use, but not when not to
- 85Steps. 24 steps, 1 vague phrases
- 100Execution cost. Instruction body is 991 tokens
- 100Running it twice. Mutating operations check current state
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
- -41 reference files, but SKILL.md never points to them: the model will not open them
- -32 of 5 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 233: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 24 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.
External checks
ClawHub: clean
This is a coherent Word/LaTeX conversion skill with expected AI-provider, setup, and local workspace side effects that users should understand before use.
LLM: benign (high) · VirusTotal: · 29 May 2026