SKILLEMALL.ai

CC tooluniverse-network-pharmacology

Construct and analyze compound-target-disease networks for drug repurposing, polypharmacology discovery, and systems pharmacology. Builds multi-layer networks from ChEMBL, OpenTargets, STRING, DrugBank, Reactome, FAERS, and 60+ other ToolUniverse tools. Calculates Network Pharmacology Scores (0-100), identifies repurposing candidates, predicts mechanisms, and analyzes polypharmacology. Use when users ask about drug repurposing via network analysis, multi-target drug effects, compound-target-disease networks, systems pharmacology, or polypharmacology.

FreedomIntelligence/OpenClaw-Medical-Skills Agent Skills author: FreedomIntelligence 3 files · 1 script body ≈ 12 100 tokens Open the sourcegithub.com↗ analyzed 14 h ago

Construct and analyze compound-target-disease networks for drug repurposing, polypharmacology discovery, and systems pharmacology.

As a process C 62/100 · Has gaps — References files that are not bundled: ../tooluniverse-drug-repurposing/SKILL.md, ../tooluniverse-drug-target-validation/SKILL.md, ../tooluniverse-adverse-event-detection/SKILL.md

AnalyzerData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
C
62/100
Has gaps
References files that are not bundled: ../tooluniverse-drug-repurposing/SKILL.md, ../tooluniverse-drug-target-validation/SKILL.md, ../tooluniverse-adverse-event-detection/SKILL.md
Tools and files w 18
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 12100 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../tooluniverse-drug-repurposing/SKILL.md
  • warning missing-ref reference to a missing file: ../tooluniverse-drug-target-validation/SKILL.md
  • warning missing-ref reference to a missing file: ../tooluniverse-adverse-event-detection/SKILL.md
  • warning missing-ref reference to a missing file: ../tooluniverse-systems-biology/SKILL.md
  • warning missing-ref reference to a missing file: ../tooluniverse-protein-interactions/SKILL.md

Process rating: all ten parameters 62/100

Will not run. References files that are not bundled: ../tooluniverse-drug-repurposing/SKILL.md, ../tooluniverse-drug-target-validation/SKILL.md, ../tooluniverse-adverse-event-detection/SKILL.md
  • 0Tools and files. 5 referenced file(s) missing: ../tooluniverse-drug-repurposing/SKILL.md, ../tooluniverse-drug-target-validation/SKILL.md, ../tooluniverse-adverse-event-detection/SKILL.md
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 40Execution cost. Instruction body is 12100 tokens: crowds the task out of the window
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 86 steps, 1 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 1 branches, has a failure section
  • 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 12 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
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 556: enough signal without eating the budget
  • +4Structure: 45 headings
  • +3Step-by-step instructions: 86 items
  • +3Output format is stated explicitly
  • +4Has examples (28 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.