SKILLEMALL.ai

CC social-media-setup

Social media register: platforms and handles, post captions and hashtags, publishing cadence, approval status and profile checklist. Use for social account setup.

The skillemall take

Promises to organize social media registration: collect platforms, handles, post captions, hashtags, publishing schedule, approval status and profile checklist. Standard workflow for account setup on paper.

Five files, no critical issues, but quality score dropped to 73 and process score to 58—hints at structural gaps. Never tested on models or in sandbox. Safety checks pass, but actual output from Claude or Hermes remains untested.

sickn33/agentic-awesome-skills Hermes author: sickn33 MIT 5 files body ≈ 6 320 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Social media register: platforms and handles, post captions and hashtags, publishing cadence, approval status and profile checklist.

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureNotionMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

The same skill appears in 2 more places: agentic-awesome-skills, agentic-awesome-skills

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 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 · 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 162 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning body-long SKILL.md body ≈ 6320 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "risk"
  • note frontmatter-key unknown frontmatter key "source"
  • note frontmatter-key unknown frontmatter key "source_type"
  • note frontmatter-key unknown frontmatter key "date_added"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "source_repo"

Process rating: all ten parameters 58/100

  • 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. 13 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 55Failures and branches. 1 branches
  • 70Execution cost. Instruction body is 6320 tokens
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 44 steps
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 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
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 162: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 44 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (1 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.