SKILLEMALL.ai

CD safety-netting

Automated clinical safety netting for NHS GPs. Follows up with patients after appointments, checks for red flag symptoms, escalates to GP when needed.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: Ekin-Kahraman v1.0.0 MIT-0 2 files body ≈ 900 tokens Open the sourceclawhub.ai↗ analyzed 14 d ago

Automated clinical safety netting for NHS GPs.

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
81/100
safety, quality, tests
Safety 60%
82
Quality 40%
79
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Broad scope
If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
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 · 1

  • high Broad scope meta-requests-env-secret SKILL.md:1
    Skill asks the runtime to inject credential env vars into its sandbox: OPENMAIL_API_KEY, SUPABASE_SERVICE_ROLE_KEY (high-value: SUPABASE_SERVICE_ROLE_KEY) — verify each one is needed for the stated purpose
    required_environment_variables: OPENMAIL_API_KEY, SUPABASE_SERVICE_ROLE_KEY

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • note frontmatter-key unknown frontmatter key "env"

Process rating: all ten parameters 46/100

  • 0Result and completion. Does not say what the result is
  • 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
  • 40Consistency. Frontmatter name (safety-netting) differs from the folder (ekin-safety-netting)
  • 100Tools and files. No external tools needed
  • 100Steps. 54 steps
  • 100Execution cost. Instruction body is 900 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 150: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 54 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: suspicious
The skill has a coherent healthcare follow-up purpose, but it asks to handle and store identifiable patient medical data and use broad backend credentials without enough safeguards.
LLM: suspicious (high) · VirusTotal: · 16 Sept 2026