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AF perplexity-search

Grounded web search & research via Perplexity, keyless and pay-per-call over SELAT. Use when asked to "search the web for <topic>", "what's the latest on <topic>", "research <topic> with sources", "do a deep-research report on <X>", or "give me a grounded answer with citations". Runs Perplexity's cheap web Search by default, and can escalate to a one-shot Agent answer or an async deep-research report when a plain search isn't enough. Paid per call in USDC (on Base) from the user's own self-custody Circle Agent Wallet — no Perplexity API key, no signup. Dry-run first to see live prices; every price the CLI shows already includes SELAT's ~5% routing markup.

ClawHub Agent Skills author: SELAT v1.1.2 MIT-0 2 files body ≈ 1 407 tokens Open the sourceclawhub.ai↗ analyzed 10 h ago

Grounded web search & research via Perplexity, keyless and pay-per-call over SELAT.

As a process F 40/100 · Will not run — References files that are not bundled: references/endpoints.md

IntegrationData and analyticsAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: references/endpoints.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/endpoints.md

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: references/endpoints.md
  • 0Tools and files. 1 referenced file(s) missing: references/endpoints.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 100Steps. 13 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1407 tokens
  • 100Progress reporting. Reports progress

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 663: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

External checks

ClawHub: clean
This skill is a clearly disclosed paid Perplexity search wrapper that requires user confirmation before wallet setup or spending.
LLM: benign (high) · VirusTotal: · 26 Jul 2026