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CD Broadcast

Multi-platform social syndication CLI: post text and media to X, LinkedIn, Bluesky, and Instagram from one command, with per-platform limits, --dry-run, status checks; also X Articles, podcast episodes to Omny, newsletter shares. USE WHEN broadcast, post to social media, cross-post, post to all, syndicate, publish to all platforms, post to Instagram, check platform status, post this everywhere, share the newsletter, edition share card, newsletter share card, sponsor thank-you in the share. NOT FOR writing the copy itself, X-only ops (X), Substack.

danielmiessler/Personal_AI_Infrastructure Agent Skills author: danielmiessler 36 files · 20 scripts body ≈ 2 763 tokens Open the sourcegithub.com↗ analyzed 2 h ago

Multi-platform social syndication CLI: post text and media to X, LinkedIn, Bluesky, and Instagram from one command, with per-platform limits, --dry-run…

As a process D 47/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

IntegrationWriting 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
89/100
safety, quality, tests
Safety 60%
93
Quality 40%
82
Run on models
none yet
Process rating
D
47/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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

    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

    ✓ No critical or high findings

    Medium and low: 3
    • medium Exfiltration net-credential-use Tools/LinkedInComment.ts:50
      Credential used in a network call (verify the destination is the intended service)
      const ui = await doFetch(`${API}/v2/userinfo`, { headers: { Authorization: `Bearer ${token}` } });
    • low Exfiltration net-credential-use Intents/ShareNewsletter.md:66
      Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
      bun --env-file ~/.claude/.env -e 'const r = await fetch(`https://api.beehiiv.com/v2/publications/${process.env.BEEHIIV_PUB_ID}/posts?status=…&limit=1&order_by=…&direction=… { h
      quoted
    • low Exfiltration net-credential-use Intents/ShareNewsletter.md:71
      Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
      bun --env-file ~/.claude/.env -e 'const r = await fetch(`https://api.beehiiv.com/v2/publications/${process.env.BEEHIIV_PUB_ID}/posts/${process.argv[1]}?expand[]=… { headers: { Authori
      quoted

    Files scanned: 36. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "evals"

    Process rating: all ten parameters 47/100

    • 0Result and completion. Does not say what the result is
    • 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
    • 30Running it twice. 13 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 100Steps. 16 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2763 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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 553: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 16 items
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.