SKILLEMALL.ai

AF keyapi-facebook

Explore and analyze public Facebook data through the KeyAPI REST API using live official docs. Use for profile and page details, profile posts, photos, Reels, group details, group posts, future group events, and profile/group identifier resolution.

ClawHub Agent Skills author: xyz v1.0.0 MIT-0 13 files body ≈ 2 728 tokens Open the sourceclawhub.ai analyzed 35 h ago

Explore and analyze public Facebook data through the KeyAPI REST API using live official docs.

As a process F 64/100 · Will not run — References files that are not bundled: scripts/...

IntegrationData and analyticsAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
F
64/100
Will not run
References files that are not bundled: scripts/...
Tools and files w 18
0
Running it twice w 4
30
When it triggers w 12
50
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: 13. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/...

Process rating: all ten parameters 64/100

Will not run. References files that are not bundled: scripts/...
  • 0Tools and files. 1 referenced file(s) missing: scripts/...
  • 30Running it twice. 1 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 63 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2728 tokens
  • 100Progress reporting. Reports progress
  • low 12 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 248: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 63 items
  • +3Output format is stated explicitly
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (8 of 8)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

External checks

ClawHub: suspicious
The skill is mostly coherent for KeyAPI Facebook lookups, but it needs Review because it persists an API token in shell profile files and includes broad helper capabilities that are under-scoped for the stated public-data use case.
LLM: suspicious (high) · VirusTotal: · 9 Jul 2026