AF web-llm-chat
Chat with web-based LLMs through the Chrome Relay extension. Provides free access to powerful web search and RAG capabilities without API costs. Currently supports Qwen AI (chat.qwen.ai). Use for web search, deep research, multi-turn investigations, getting a second opinion, comparing AI responses, or delegating complex reasoning tasks. Requires Chrome extension relay connected with an LLM chat tab open. Triggers on phrases like "ask Qwen", "search with Qwen", "Qwen search", "deep research with Qwen", "Qwen research", "web LLM search", "browser AI chat", "free AI search", "Qwen怎么说", "去问Qwen", "Qwen 搜索", "Qwen 研究", "用 Qwen 深度研究".
As a process F 64/100 · Will not run — References files that are not bundled: LICENSE
How to improve
- The text references files that are not there: add them or drop the references.
- 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
missing-refreference to a missing file: LICENSE
Process rating: all ten parameters 64/100
- 0Tools and files. 1 referenced file(s) missing: LICENSE
- 0Progress reporting. Says nothing while it works
- 60Result and completion. Output format stated, no completion criterion
- 65Failures and branches. 3 branches
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 51 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2297 tokens
- 100Running it twice. Mutating operations check current state
- low 15 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
- +4Description does not say when NOT to use the skill (false activations)
- -5TODO / placeholder text left in the skill
- +1No license
- +2Single-language instructions
- +5Description quotes 13 example trigger phrases
- +3Description length 636: enough signal without eating the budget
- +4Structure: 37 headings
- +3Step-by-step instructions: 51 items
- +3Output format is stated explicitly
- +4Has examples (13 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.