SKILLEMALL.ai

AD dnasp

Population genetics of pre-aligned DNA sequences or multi-sample VCFs using selected DnaSP 6 methods. Use for diversity, neutrality statistics, linkage disequilibrium, InDel polymorphism, divergence, MK, Ka/Ks and codon usage; not alignment, phasing or clinical interpretation.

ClawHub Hermes author: David de Lorenzo v0.1.0 MIT-0 22 files body ≈ 2 203 tokens Open the sourceclawhub.ai analyzed 10 h ago

Population genetics of pre-aligned DNA sequences or multi-sample VCFs using selected DnaSP 6 methods.

As a process D 49/100 · Unfinished process — weak spots: when it triggers, inputs and preconditions, failures and branches

ProcedureData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
97
Quality 40%
86
Run on models
none yet
Process rating
D
49/100
Unfinished process
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token dnasp.py:1632
    High-entropy token-like string (may be an id, hash or a credential)
    # Literal control flow of Mod3…Del and
  • low Secrets in code secret-high-entropy-token docs/index.md:141
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    `Mod3…Del`, `mod3…sis` and
    detector
  • low Secrets in code secret-high-entropy-token docs/index.md:142
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    `mod3…ics`. The 13-sequence help example gives I=2,
    quoted

Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 277 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)

Process rating: all ten parameters 49/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 60Consistency. The Hermes dialect needs category and tags
  • 100Steps. 26 steps
  • 100Execution cost. Instruction body is 2203 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 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)
  • +2Single-language instructions
  • +3Description length 277: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 26 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

External checks

ClawHub: clean
This skill is a local population-genetics analysis tool whose file access and output behavior are disclosed and aligned with its purpose.
LLM: benign (high) · VirusTotal: · 15 Sept 2026