SKILLEMALL.ai

FC skill-review-sendmsg

(no description)

Not recommendedcritical or high security findings · low grade F
ClawHub Agent Skills author: dexing2635-tech v1.0.0 MIT-0 8 files body ≈ 385 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 58/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, progress reporting

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
F
38/100
safety, quality, tests
Safety 60%
63
Quality 40%
0
Run on models
none yet
Process rating
C
58/100
Has gaps
When it triggers w 12
0
Inputs and preconditions w 11
0
Progress reporting w 2
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.

Secrets in code
If you install

The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

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. 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.
  2. 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

  • high Secrets in code meta-credential-files .env
    Credential / dotenv files bundled with the skill (1)
    .env
Medium and low: 7
  • medium Exfiltration net-redirectable-api-key scripts/review_runner.py:28
    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/review.py:124
    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 exfil-webhook-url scripts/review.py:207
    Webhook / callback URL commonly used for exfiltration (verify the destination) (quoted — discussed, not commanded)
    f"https://api.telegram.org/bot{token}/sendMessage",
    quoted
  • low Exfiltration exfil-webhook-url scripts/review_runner.py:59
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    f"https://api.telegram.org/bot{TG_BOT_TOKEN}/sendDocument",
    placeholder
  • low Exfiltration exfil-webhook-url scripts/review_runner.py:71
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    f"https://api.telegram.org/bot{TG_BOT_TOKEN}/sendMessage",
    placeholder
  • low Exfiltration exfil-webhook-url scripts/review_runner.py:77
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    f"https://api.telegram.org/bot{TG_BOT_TOKEN}/sendMessage",
    placeholder
  • low Exfiltration exfil-webhook-url scripts/review_runner.py:90
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    f"https://api.telegram.org/bot{TG_BOT_TOKEN}/sendMessage",
    placeholder

Files scanned: 7. 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 58/100

  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 60Failures and branches. 2 branches
  • 100Steps. 39 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 385 tokens
  • 100Running it twice. No mutating operations

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
  • +4No input/output examples
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 39 items
  • +3Output format is stated explicitly
  • +3All 2 scripts are documented

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

External checks

ClawHub: suspicious
This is a code-review skill, but its main instructions under-disclose that bundled helpers can send repository diffs to an external LLM, notify Telegram, clone configured repos, and keep local review state.
LLM: suspicious (high) · VirusTotal: · 29 May 2026