Borrowing it
Nothing to install: this file belongs to Enriquemarq1/zernio-library-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Enriquemarq1/zernio-library-skills/main/.claude/skills/zernio-publish/SKILL.mdgit clone --depth 1 https://github.com/Enriquemarq1/zernio-library-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/enriquemarq1/zernio-library-skills/zernio-publish)<a href="https://agentmods.dev/skills/enriquemarq1/zernio-library-skills/zernio-publish"><img src="https://agentmods.dev/badge/skills/enriquemarq1/zernio-library-skills/zernio-publish/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/enriquemarq1/zernio-library-skills/zernio-publish"><img src="https://agentmods.dev/badge/skills/enriquemarq1/zernio-library-skills/zernio-publish.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 7 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 127 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- high Privilege Escalation · line 55 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Excessive Agency · line 19 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 428 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Data Exfiltration · line 114 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 185 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 365 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00179 | $0.05686 |
| Opus 5 | $0.00089 | $0.02843 |
| Sonnet 5 | $0.00036 | $0.01137 |
| Haiku 4.5 | $0.00018 | $0.00569 |
Grade A, and why
zernio-publish scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
You are publishing content to social media for the user via Zernio. This is end-to-end — from raw asset to verified, logged post. You handle asset analysis, caption drafting, format conversion, upload, posting, verificat How it starts
The opening of the file, as written. The whole thing — 445 lines — stays where its author put it; the contents beside it link to each section on GitHub.
zernio-publish
You are publishing content to social media for the user via Zernio. This is end-to-end — from raw asset to verified, logged post. You handle asset analysis, caption drafting, format conversion, upload, posting, verification, and logging. You're a full Claude Code agent — bash, ffmpeg, curl, file I/O, vision, transcript extraction, all available.
The user gives you an asset and intent. You do everything else and present the finished package for their approval before publishing.
How to behave when this skill triggers
You're a senior content strategist + publishing operator. Lead with action, not commentary.
- No "Quick observations:" preambles, no "Things I'm flagging:" lists, no checklists of what's missing. The user already knows the state. Just do the work.
- Don't ask the user about standard format choices. "Carousel or reel?" "9:16 or 16:9?" "What's the IG format?" — these are your decisions based on the platforms named and the asset type. See the routing matrix below.
- Drafts come from the asset. Transcribe the video, look at the image, understand the carousel — then write the captions, titles, hashtags. The user doesn't author copy; you draft it from what the asset is actually about.
- One question at a time, only when you genuinely can't proceed. Plain language, no bundles, no numbered lists of asks.
- Stage 7 APPROVE is where the user steers. They edit your drafts, change the schedule, swap platforms, or kill the post. Don't surface approval-style decisions earlier — they don't have the context yet.
Decide, don't ask — the routing matrix
When the user names platforms and the asset has an obvious format mapping, decide and continue. Don't ask.
| Asset | → TikTok | → YouTube | → X/Twitter | → Threads | |||
|---|---|---|---|---|---|---|---|
| Video, 9:16 | Reel | Single video | Shorts (≤3min) or regular | Native video | Native video | Native video | Reel |
| Video, 16:9 | Reframe→9:16→Reel | Reframe→9:16 | Regular video | Native video | Native video | Reframe→9:16 | Feed video |
| Video, 1:1 | Feed video | Reframe→9:16 | Regular video | Native video | Native video | Native video | Feed video |
| Carousel of images | Carousel feed post | Convert→9:16 slideshow video | Convert→video, regular | PDF document carousel | Multi-image (up to 4) | Multi-image (up to 10) | Multi-image feed |
| Single image | Feed image | Photo post | n/a (no image-only) | Feed image | Image tweet | Image post | Feed image |
| Text-only | n/a | n/a | n/a | Native post | Tweet | Native post | Native post |
What ships with it
20 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- reference/platforms.md 6.6 KB
- reference/platforms/bluesky.md 4.4 KB
- reference/platforms/facebook.md 5.8 KB
- reference/platforms/googlebusiness.md 5.5 KB
- reference/platforms/instagram.md 7.4 KB
- reference/platforms/linkedin.md 6.2 KB
- reference/platforms/pinterest.md 5.8 KB
- reference/platforms/reddit.md 6.1 KB
- reference/platforms/snapchat.md 3.9 KB
- reference/platforms/telegram.md 5.1 KB
- reference/platforms/threads.md 5.1 KB
- reference/platforms/tiktok.md 6.8 KB
- reference/platforms/twitter.md 5.8 KB
- reference/platforms/youtube.md 6.4 KB
- reference/principles.md 6.3 KB
- reference/zernio-api.md 4.9 KB
- reference/zernio-openapi.yaml 670 KB
- reference/zernio-post.md 5.8 KB
- reference/zernio-upload.md 4.4 KB
- templates/manifest.json 2.7 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 445 lines · 179 tokens per session scan A 1b4c8ecabffe
zernio-publish is a skill published in the GitHub repository Enriquemarq1/zernio-library-skills (39 stars, last pushed 23d ago), licensed MIT. It adds 179 tokens to every session and 5,686 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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