BC agnt-data
Unified social data API for AI agents. One API key for LinkedIn, YouTube, TikTok, X, Instagram, Reddit, and Facebook.
As a process C 52/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
IntegrationYouTubeMarketingMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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
-
low Secrets in code
secret-high-entropy-tokenreferences/instagram/README.md:280High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"name": "agnt…_ID",
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/instagram/README.md:346High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"name": "agnt…ame",
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/linkedin/README.md:782High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"name": "agnt…_V2",
quoted
Files scanned: 10. 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") - warning
body-longSKILL.md body ≈ 5133 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 52/100
- 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
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 60Failures and branches. 2 branches
- 70Execution cost. Instruction body is 5133 tokens
- 100Steps. 33 steps
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- 100Progress reporting. Reports progress
- low 11 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 117: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 18 headings
- +3Step-by-step instructions: 33 items
- +4Has examples (13 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.
External checks
ClawHub: suspicious
This skill is mostly a disclosed agntdata social-data API reference, but it also adds broad webhook collection that can persist raw third-party payloads with weak URL-only authentication.
LLM: suspicious (high) · VirusTotal: · 29 May 2026