SKILLEMALL.ai

BC biolims

Call Bio-LIMS system APIs to manage orders, sample receiving, and experiment templates, including querying, creating, updating orders, sample receive management, barcode scanning, and experiment template creation, querying, modification, copying, and cancellation. Use when the user mentions keywords such as "order", "sample", "patient", "receive", "scan", "barcode", "experiment template", "test template", "et-", etc. The script automatically handles token login and refresh; no manual authentication is needed.

ClawHub Agent Skills author: biolims v1.0.0 MIT-0 67 files · 4 scripts body ≈ 10 306 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 61/100 · Has gaps — weak spots: inputs and preconditions, consistency, execution cost

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
76/100
safety, quality, tests
Safety 60%
74
Quality 40%
79
Run on models
none yet
Process rating
C
61/100
Has gaps
Inputs and preconditions w 11
0
Consistency w 8
40
Execution cost w 6
40
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 6

✓ No critical or high findings

Medium and low: 6
  • medium Exfiltration net-redirectable-api-key scripts/biolims-server.mjs:23
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • medium Exfiltration net-redirectable-api-key scripts/biolims.mjs:283
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • medium Exfiltration net-credential-use scripts/biolims.sh:84
    Credential used in a network call (verify the destination is the intended service)
    curl -s -c "$COOKIE_JAR" -D "$resp_headers_file" -X POST "$BASE_URL/user/Login?username=$USERNAME&password=$url_encoded_password" \
  • medium Exfiltration net-redirectable-api-key scripts/scan-sample.mjs:12
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • medium Exfiltration net-redirectable-api-key scripts/test_api.py:12
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • low Secrets in code secret-password-literal scripts/encrypt_password.py:55
    Hard-coded password / key literal (may be an example)
    password = sys.argv[1]

Files scanned: 67. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 10306 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 61/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 40Consistency. Frontmatter name (biolims) differs from the folder (biolims-skill)
  • 40Execution cost. Instruction body is 10306 tokens: crowds the task out of the window
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Failures and branches. 9 branches
  • 100Steps. 215 steps
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 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

  • +4Description does not say when NOT to use the skill (false activations)
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -312 of 14 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 514: enough signal without eating the budget
  • +4Structure: 41 headings
  • +3Step-by-step instructions: 215 items
  • +3Output format is stated explicitly
  • +4Has examples (40 code blocks)
  • +4Reference files are cited in the instructions (5 of 16)

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

External checks

ClawHub: suspicious
The skill is a Bio-LIMS integration, but it exposes many sensitive lab, QC, report, export, and local-server capabilities beyond the narrow description, so it needs user review before installation.
LLM: suspicious (high) · VirusTotal: · 29 May 2026