SKILLEMALL.ai
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BC x-bookmarks

Fetch, summarize, and manage X/Twitter bookmarks via bird CLI or X API v2. Use when: (1) user says "check my bookmarks", "what did I bookmark", "bookmark digest", "summarize my bookmarks", "x bookmarks", "twitter bookmarks", (2) user wants a periodic digest of saved tweets, (3) user wants to categorize, search, or analyze their bookmarks, (4) scheduled bookmark digests via cron. Auth: bird CLI with browser cookies, OR X API v2 with OAuth 2.0 tokens.

Not recommendedcritical or high security findings
modbender/skill-library-mcp Agent Skills author: modbender MIT 6 files · 1 script body ≈ 1 647 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Fetch, summarize, and manage X/Twitter bookmarks via bird CLI or X API v2.

As a process C 64/100 · Has gaps — weak spots: when it triggers, inputs and preconditions

IntegrationWriting and documentsSoftware developmenttype 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
82/100
safety, quality, tests
Safety 60%
76
Quality 40%
91
Run on models
none yet
Process rating
C
64/100
Has gaps
Inputs and preconditions w 11
0
When it triggers w 12
20
Tools and files w 18
60
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.

Exfiltration
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.
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 · 3

  • high Exfiltration intent-browser-credential-store SKILL.md:206
    Accesses a browser credential / cookie store
    | EPERM on Safari cookies | macOS permissions | Use Chrome/Firefox or X API instead |
Medium and low: 2
  • medium Exfiltration intent-browser-credential-store SKILL.md:205
    Accesses a browser credential / cookie store (documentation table row)
    | "No Twitter cookies found" | Not logged into X in browser | Log into x.com in Chrome/Firefox, or use X API |
    table
  • low Exfiltration read-dotenv SKILL.md:87
    Reads a .env file (detector / deny-list definition)
    If user has a `.env.bird` file or env vars `AUTH_TOKEN`/`CT0`, source them first: `source .env.bird`
    detector

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • note frontmatter-key unknown frontmatter key "requires"
  • note frontmatter-key unknown frontmatter key "security"

Process rating: all ten parameters 64/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 85Steps. 33 steps, 1 vague phrases
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1647 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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

  • +4Description does not say when NOT to use the skill (false activations)
  • -31 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 453: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 33 items
  • +3Output format is stated explicitly
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.