SKILLEMALL.ai

BB onboard

Decompose mixed project materials (code, docs, PDF/Excel/PPT) into a sourced overview and a goal-driven three-tier learning path, then teach it interactively.

The skillemall take

The skill promises to parse mixed project materials—code, docs, PDFs, spreadsheets—and produce a structured overview with a three-tier learning path. One file with 1856 tokens, no scripts. Checks found no critical errors but flagged broken links and missing files. Quality score sits at 74/100, process score at 52—signs of implementation gaps.

No model runs or sandbox tests. Works with Claude and Hermes. Worth installing if your project is small and you can fix broken references yourself. For serious work with large materials, test it on sample data first.

sickn33/agentic-awesome-skills Hermes author: sickn33 3 files · 2 scripts body ≈ 984 tokens Open the sourcegithub.com↗ analyzed 10 h ago

Decompose mixed project materials (code, docs, PDF/Excel/PPT) into a sourced overview and a goal-driven three-tier learning path, then teach it interactively.

As a process B 71/100 · Nearly there — weak spots: result and completion, failures and branches, progress reporting

GeneratorLearningtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
B
71/100
Nearly there
Result and completion w 14
0
Failures and branches w 10
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.
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 158 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • 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 71/100

  • 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
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 21 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 984 tokens
  • 100Running it twice. No mutating operations
  • 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 158: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 21 items
  • +4Has examples (1 code blocks)
  • +3All 2 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.