SKILLEMALL.ai

DB pylinter-assist

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: Clay Graham v0.6.3 MIT-0 20 files · 1 script body ≈ 3 156 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 68/100 · Nearly there — weak spots: when it triggers, running it twice

ProcedureGitHubInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
D
50/100
safety, quality, tests
Safety 60%
84
Quality 40%
0
Run on models
none yet
Process rating
B
68/100
Nearly there
When it triggers w 12
30
Running it twice w 4
30
Failures and branches w 10
50
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.

Dangerous commands 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 skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
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 · 8

✓ No critical or high findings

Medium and low: 8
  • medium Exfiltration exfil-webhook-url pylinter_assist/notifications.py:55
    Webhook / callback URL commonly used for exfiltration (verify the destination) (quoted — discussed, not commanded)
    self.base_url = f"https://api.telegram.org/bot{bot_token}"
    quoted
  • medium Dangerous commands cmd-pipe-to-shell SKILL.md:168
    Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)
    > committing. Do not use `curl … | sh` or copy files from a branch tip (`main`) without
    quoted
  • low Secrets in code secret-aws-key CLAUDE.md:42
    AWS access key ID (placeholder value)
    | AWS/GCP access key | HCS005 | ERROR | `AKIA…PLE` |
    placeholder
  • low Secrets in code secret-aws-key README.md:48
    AWS access key ID (placeholder value)
    | AWS/GCP access key | HCS005 | ERROR | `AKIA…PLE` |
    placeholder
  • low Dangerous commands cmd-pipe-to-shell SKILL.md:14
    Downloads and executes remote code from an unrecognised host (pipe to shell) (negated — the text forbids it)
    **Install pyenv (no `curl | sh`):**
    negated
  • low Secrets in code secret-aws-key SKILL.md:260
    AWS access key ID (placeholder value)
    | AWS/GCP access key | HCS005 | ERROR | `AKIA…PLE` |
    placeholder
  • low Exfiltration exfil-webhook-url SKILL.md:405
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    webhook_url: https://discord.com/api/webhooks/...
    placeholder
  • low Exfiltration exfil-webhook-url SKILL.md:408
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    webhook_url: https://hooks.slack.com/services/...
    placeholder

Files scanned: 20. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger

Process rating: all ten parameters 68/100

  • 30When it triggers. No condition that starts the skill
  • 30Running it twice. 15 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 17 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3156 tokens
  • 100Progress reporting. Reports progress
  • low 14 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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)
  • +3Description length 0: 120–800 characters recommended
  • -2localhost URLs: will not work for another user
  • -31 of 2 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +4Structure: 36 headings
  • +3Step-by-step instructions: 17 items
  • +3Output format is stated explicitly
  • +4Has examples (26 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: clean
This is a disclosed Python PR-linting skill with optional GitHub commenting, artifact downloads, and notifications; no hidden or deceptive behavior was found.
LLM: benign (high) · VirusTotal: · 28 May 2026