SKILLEMALL.ai

AF buffer-api

Schedule, manage and analyze social media posts via the Buffer GraphQL API from any AI agent.

ClawHub Hermes author: JPeetz v1.0.0 MIT-0 5 files body ≈ 2 731 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 48/100 · Will not run — References files that are not bundled: references/graphql-helpers.md

IntegrationAI and agentsInfrastructureMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
F
48/100
Will not run
References files that are not bundled: references/graphql-helpers.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  2. 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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 93 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning missing-ref reference to a missing file: references/graphql-helpers.md

Process rating: all ten parameters 48/100

Will not run. References files that are not bundled: references/graphql-helpers.md
  • 0Tools and files. 1 referenced file(s) missing: references/graphql-helpers.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 22 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Consistency. The Hermes dialect needs category and tags
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 57 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Execution cost. Instruction body is 2731 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 16 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 93: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 57 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: suspicious
The Buffer skill is coherent, but it can publish, edit, reorder, and delete social posts with a Buffer API key without explicit confirmation guardrails for destructive actions.
LLM: suspicious (medium) · VirusTotal: · 21 Aug 2026