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CD perplexity-search

Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.

foryourhealth111-pixel/Vibe-Skills Agent Skills author: foryourhealth111-pixel Apache-2.0 6 files · 2 scripts body ≈ 3 346 tokens Open the sourcegithub.com↗ analyzed 30 h ago

Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter.

As a process D 41/100 · Unfinished process — References files that are not bundled: assets/.env.example

IntegrationResearchWriting and documentstype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
89
Quality 40%
90
Run on models
none yet
Process rating
D
41/100
Unfinished process
References files that are not bundled: assets/.env.example
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 3

✓ No critical or high findings

Medium and low: 3
  • medium Dangerous commands cmd-shell-rc references/openrouter_setup.md:71
    Writes to a shell startup file
    echo 'export OPENROUTER_API_KEY="sk-o…ere"' >> ~/.bashrc
  • medium Dangerous commands cmd-shell-rc references/openrouter_setup.md:75
    Writes to a shell startup file
    echo 'export OPENROUTER_API_KEY="sk-o…ere"' >> ~/.zshrc
  • low Exfiltration read-dotenv references/openrouter_setup.md:108
    Reads a .env file
    source .env

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/.env.example

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: assets/.env.example
  • 0Tools and files. 1 referenced file(s) missing: assets/.env.example
  • 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
  • 30Running it twice. 5 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 120 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3346 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 14 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
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 508: enough signal without eating the budget
  • +4Structure: 46 headings
  • +3Step-by-step instructions: 120 items
  • +4Has examples (19 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 2 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.