SKILLEMALL.ai

CF present

Authors a narrated presentation and publishes it to a shareable watch URL. Use when asked to make a presentation, slides, a video, a deck, a slideshow, a narrated briefing, or a talk.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: Bisque v1.0.0 MIT-0 3 files body ≈ 3 305 tokens Open the sourceclawhub.ai analyzed 2 d ago

Authors a narrated presentation and publishes it to a shareable watch URL.

As a process F 45/100 · Will not run — References files that are not bundled: /lˈaɪv/, liv, /kˈOkOɹO/

GeneratorInfrastructureMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
C
64/100
safety, quality, tests
Safety 60%
57
Quality 40%
75
Run on models
none yet
Process rating
F
45/100
Will not run
References files that are not bundled: /lˈaɪv/, liv, /kˈOkOɹO/
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.

Dangerous commands
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.

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. 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 · 6

  • high Dangerous commands cmd-pipe-to-shell SKILL.md:34
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://download.bisque.today/bisque-voice/install.sh | sh   # macOS, Linux
Medium and low: 5
  • medium Exfiltration net-redirectable-api-key scripts/present.mjs:43
    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 Dangerous commands cmd-pipe-to-shell scripts/present.mjs:464
    Downloads and executes remote code from an unrecognised host (pipe to shell) (string literal in code, not executed)
    : "  curl -fsSL https://download.bisque.today/bisque-voice/install.sh | sh"),
    code literal
  • medium Dangerous commands cmd-pipe-to-shell scripts/present.mjs:610
    Downloads and executes remote code from an unrecognised host (pipe to shell) (string literal in code, not executed)
    "curl -fsSL https://download.bisque.today/bisque-voice/install.sh | sh",
    code literal
  • medium Dangerous commands cmd-pipe-to-shell scripts/present.mjs:1378
    Downloads and executes remote code from an unrecognised host (pipe to shell) (string literal in code, not executed)
    : "  install: curl -fsSL https://download.bisque.today/bisque-voice/install.sh | sh",
    code literal
  • medium Dangerous commands cmd-pipe-to-shell scripts/present.mjs:1686
    Downloads and executes remote code from an unrecognised host (pipe to shell) (string literal in code, not executed)
    : "  curl -fsSL https://download.bisque.today/bisque-voice/install.sh | sh"),
    code literal

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: /lˈaɪv/
  • warning missing-ref reference to a missing file: liv
  • warning missing-ref reference to a missing file: /kˈOkOɹO/
  • warning missing-ref reference to a missing file: assets/hero.png

Process rating: all ten parameters 45/100

Will not run. References files that are not bundled: /lˈaɪv/, liv, /kˈOkOɹO/
  • 0Tools and files. 4 referenced file(s) missing: /lˈaɪv/, liv, /kˈOkOɹO/
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 30 mutating operations with no state check
  • 100Steps. 11 steps
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3305 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (4 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 183: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 11 items
  • +4Has examples (8 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
The skill is mostly purpose-aligned for creating and publishing narrated presentations, but it deserves review because it recommends running unpinned remote installer scripts and can upload user content using Bisque credentials.
LLM: suspicious (high) · 2 Sept 2026