SKILLEMALL.ai

CD render-imessage-chat

Render a configurable iMessage conversation inside a properly framed phone, then a brand end card. Uses the original send/receive sounds and a shared frame timeline for text, typing, scrolling and sound. Free local Playwright + ffmpeg assembly; optional image/music generation belongs to separate gated capabilities.

athina-ai/goose-skills Agent Skills author: athina-ai 21 files · 11 scripts body ≈ 3 162 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Render a configurable iMessage conversation inside a properly framed phone, then a brand end card.

As a process D 45/100 · Unfinished process — References files that are not bundled: assets/sfx

GeneratorPlaywrightMarketingAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
82/100
safety, quality, tests
Safety 60%
94
Quality 40%
65
Run on models
none yet
Process rating
D
45/100
Unfinished process
References files that are not bundled: assets/sfx
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: render-imessage-chat (gooseworks-ai/goose-skills)

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  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

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:17
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…uWm+fFRcIOgKBMiOBP+eXiy…9ab+DDKA==",
    detector
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:31
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…pqL+1VwGNdUGrRr++8j8P…zPQ==",
    detector
  • low Obfuscation obf-base64-blob scripts/sfx-embedded.json:7
    Long base64-looking blob (quoted — discussed, not commanded)
    "base64": "SUQz…AAP/7VMA…wME
    quoted
  • low Secrets in code secret-high-entropy-token scripts/sfx-embedded.json:7
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "base64": "SUQz…AAP/7VMA…wME
    detector
  • low Obfuscation obf-base64-blob scripts/sfx-embedded.json:12
    Long base64-looking blob (quoted — discussed, not commanded)
    "base64": "SUQz…AAP/7VMA…cXF
    quoted
  • low Secrets in code secret-high-entropy-token scripts/sfx-embedded.json:12
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "base64": "SUQz…AAP/7VMA…cXF
    quoted

Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: assets/sfx
  • note frontmatter-key unknown frontmatter key "status"
  • note frontmatter-key unknown frontmatter key "superseded_by"

Process rating: all ten parameters 45/100

Will not run. References files that are not bundled: assets/sfx
  • 0Tools and files. 1 referenced file(s) missing: assets/sfx
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 7 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 37 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3162 tokens
  • 100Progress reporting. Reports progress
  • 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
  • -31 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 316: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.