SKILLEMALL.ai
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CC X

Runs all X (Twitter) operations via X API v2 and the xurl CLI: post tweets and threads with media, publish X Articles, search, fetch bookmarks, sweep new bookmarks into idea-issues with LifeOS Upgrade analysis, look up profiles, read tweets. USE WHEN post to X, tweet, post thread, search X, search Twitter, X bookmarks, fetch bookmarks, pull bookmarks, check bookmarks, twitter bookmarks, what have I bookmarked, bookmarks for upgrades, tb, bookmark sweep, bookmark ideas, read tweet, X article, X profile, Twitter profile, lookup user, who is on X, authorize X. NOT FOR posting the same content to several platforms at once, writing social copy, Instagram/LinkedIn/TikTok data (Apify within each platform’s terms), bulk reads beyond what the X API plan allows (use your own exported data or a data product X licenses).

The skillemall take

Promises full X operations via API v2 and xurl CLI: tweets, threads, articles, search, bookmarks, profiles. Contains 19 files, 11 scripts, 2805 body tokens. Scores are modest: quality 69, process 52. One medium-low finding, no critical errors. References intact, no lint issues.

No model run, no sandbox test. Structure covers core use cases—from simple tweets to bookmark-to-ideas import. Author clearly states it's not for cross-posting or copywriting. Install if you have X API tokens and need straightforward integration. Low risk, but no full confidence in execution.

danielmiessler/Personal_AI_Infrastructure Agent Skills author: danielmiessler 19 files · 11 scripts body ≈ 2 805 tokens Open the sourcegithub.com↗ analyzed 27 h ago

Runs all X (Twitter) operations via X API v2 and the xurl CLI: post tweets and threads with media, publish X Articles, search, fetch bookmarks, sweep new…

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationCloudflareWriting and documentsMarketingtype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
99
Quality 40%
69
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Exfiltration net-credential-use Tools/bookmarks.ts:103
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      const meRes = await fetch("https://api.twitter.com/2/users/me", { headers: { Authorization: `Bearer ${tokens.access_token}` } });
      vendor-host

    Files scanned: 19. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 14, column 14: description: Runs all X (Twitter) operations via X API v2 and the xurl CLI: pos… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "evals"

    Process rating: all ten parameters 52/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 33 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, read, web) that frontmatter does not declare
    • 100Steps. 14 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2805 tokens
    • 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
    • +3Description length 820: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 14 items
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.