SKILLEMALL.ai

CC unpaid-intern

A free second brain for work in plain markdown files the user owns. Turns transcripts, docs, and tickets into briefings, meeting prep, debriefs, follow-ups, and status tables.

The skillemall take

Promises to turn notes, transcripts, and documents into briefings and status tables. Reality: one markdown file with instructions, no scripts. Checks found broken references—files the instructions reference don't exist in the folder. Content quality scores 71, process 45. Safety is fine.

You'll paste text into the prompt manually and copy results back. Install if you're comfortable with copy-paste workflow and already have your own file storage. If you expect workspace integration, skip it.

sickn33/agentic-awesome-skills Hermes author: sickn33 1 file body ≈ 2 391 tokens Open the sourcegithub.com↗ analyzed 6 d ago

A free second brain for work in plain markdown files the user owns.

As a process C 53/100 · Has gaps — References files that are not bundled: references/commands.md, references/no-python.md

ProcedureGitHubPersonal productivityAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
C
53/100
Has gaps
References files that are not bundled: references/commands.md, references/no-python.md
Tools and files w 18
0
Result and completion w 14
0
Failures and branches w 10
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 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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 175 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning missing-ref reference to a missing file: references/commands.md
  • warning missing-ref reference to a missing file: references/no-python.md
  • note frontmatter-key unknown frontmatter key "risk"
  • note frontmatter-key unknown frontmatter key "source"
  • note frontmatter-key unknown frontmatter key "source_repo"
  • 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 "license_source"

Process rating: all ten parameters 53/100

Will not run. References files that are not bundled: references/commands.md, references/no-python.md
  • 0Tools and files. 2 referenced file(s) missing: references/commands.md, references/no-python.md
  • 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
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 28 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2391 tokens
  • 100Running it twice. Mutating operations check current state
  • 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
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 175: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (3 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.