FC fb-ads-copywriter-pro
Facebook 廣告文案專家 - 生成 6 個高轉化率廣告版本，包含 A/B 測試建議和受眾分析
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
What is at stake
The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.
The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.
The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.
How to improve
- Remove the critical guard findings (secrets, dangerous commands, hidden instructions): while they stand the skill is blocked and cannot grade above F.
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 3
-
critical Secrets in code
secret-openai-keyscripts/copy-generator.py:22OpenAI-style API key (quoted — discussed, not commanded)GLM_API_KEY = os.getenv('GLM_API_KEY', 'sk-J…ABx')quoted
Medium and low: 2
-
low Exfiltration
exfil-webhook-urlreferences/api-docs.md:87Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)POST https://api.telegram.org/bot{BOT_TOKEN}/sendMessageplaceholder -
low Exfiltration
exfil-webhook-urlscripts/copy-generator.py:495Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)f'https://api.telegram.org/bot{TELEGRAM_BOT_TOKEN}/sendMessage',placeholder
Files scanned: 12. 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") - note
frontmatter-keyunknown frontmatter key "clawhub_pricing"
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 112 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2690 tokens
- 100Running it twice. No mutating operations
- low 19 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 49: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -257 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 59 headings
- +3Step-by-step instructions: 112 items
- +4Has examples (20 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.