AB glmv-caption
Generate captions (descriptions) for images, videos, and documents using ZhiPu GLM-V multimodal model series. Use this skill whenever the user wants to describe, caption, summarize, or interpret the content of images, videos, or files. Supports single/multiple inputs, URLs, local paths, base64 (images only), and optional structured JSON output via response_format + system prompt.
As a process B 71/100 · Nearly there — weak spots: consistency, running it twice, progress reporting
How to improve
- 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 · 2
✓ No critical or high findings
Medium and low: 2
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low Exfiltration
exfil-webhook-urlREADME.md:30Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)3. `cloudflared tunnel` (Cloudflare's free quick-tunnel, no account needed) exposes the server as a public HTTPS URL like `https://some-words.trycloudflare.com/your…mp4`
placeholder -
low Exfiltration
exfil-webhook-urlSKILL.md:137Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)> 3. 获得一个形如 `https://xxx-xxx.trycloudflare.com/your…mp4` 的临时公网 URL
placeholder
Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 71/100
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 5 mutating operations with no state check
- 40Consistency. Frontmatter name (glmv-caption) differs from the folder (glmv-caption-tunnel)
- 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 38 steps
- 100Failures and branches. 3 branches, has a failure section
- 100Execution cost. Instruction body is 3273 tokens
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)
- -212 emoji in the instructions: noise for the model
- -31 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 382: enough signal without eating the budget
- +4Structure: 25 headings
- +3Step-by-step instructions: 38 items
- +3Output format is stated explicitly
- +4Has examples (21 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.