SKILLEMALL.ai
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BC last30days

Research any topic from the last 30 days. Sources: X (Twitter), YouTube transcripts, web search. Generates expert briefings and copy-paste prompts using Gemini.

modbender/skill-library-mcp Claude Code author: modbender MIT 50 files · 1 script body ≈ 777 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Research any topic from the last 30 days.

As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

IntegrationYouTubeAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
90
Quality 40%
72
Run on models
none yet
Process rating
C
57/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 intent-browser-credential-store scripts/lib/vendor/bird-search/lib/cookies.js:103
    Accesses a browser credential / cookie store (detector / deny-list definition)
    warnings.push('No Twitter cookies found in Chrome. Make sure you are logged into x.com in Chrome.');
    detector
  • low Dangerous commands cmd-background-process scripts/lib/bird_x.py:181
    Starts a background / autostarted process
    preexec = os.setsid if hasattr(os, 'setsid') else None
  • low Dangerous commands cmd-background-process scripts/lib/bird_x.py:307
    Starts a background / autostarted process
    preexec = os.setsid if hasattr(os, 'setsid') else None
  • low Secrets in code secret-high-entropy-token scripts/lib/vendor/bird-search/lib/twitter-client-base.js:88
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    authorization: 'Bearer AAAA…uTs%3D1Z…TnA',
    quoted
  • low Dangerous commands cmd-background-process scripts/lib/youtube_yt.py:125
    Starts a background / autostarted process
    preexec = os.setsid if hasattr(os, 'setsid') else None
  • low Dangerous commands cmd-background-process scripts/lib/youtube_yt.py:247
    Starts a background / autostarted process
    preexec = os.setsid if hasattr(os, 'setsid') else None

Files scanned: 50. 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")

Process rating: all ten parameters 57/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (last30days) differs from the folder (last30days-gemini)
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 7 steps
  • 100Execution cost. Instruction body is 777 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)
  • -35 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 160: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 7 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.