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BD x-platform-agent-teneo

Overview The X Agent mpowers businesses, researchers, and marketers to move beyond surface-level monitoring to gain a comprehensive understanding of brand sentiment, competitor strategies, and communi

ClawHub Agent Skills author: teneoprotocoldev v1.0.8 MIT-0 2 files body ≈ 1 022 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, failures and branches

ProcedureInfrastructureAI and agentsMarketingtype 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
B
86/100
safety, quality, tests
Safety 60%
96
Quality 40%
72
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-high-entropy-token SKILL.md:57
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Base | `eip155:8453` | `0x83…913` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:58
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Peaq | `eip155:3338` | `0xbb…d10` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:59
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Avalanche | `eip1…114` | `0xB9…a6E` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:84
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    paymentAsset: "0x83…913", // USDC on Base
    quoted

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

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 46/100

  • 0Result and completion. Does not say what the result is
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (x-platform-agent-teneo) differs from the folder (teneo-agent-x-platform-agent)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 16 steps
  • 100Execution cost. Instruction body is 1022 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 200: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This is a coherent X analytics skill, but it asks users to connect a crypto wallet for automatic USDC payments without enough spending-limit or approval detail.
LLM: suspicious (high) · VirusTotal: benign · 28 May 2026