Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add jxoesneon/Ciel --skill social-media-automationgit clone --depth 1 https://github.com/jxoesneon/CielWrote 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/jxoesneon/ciel/social-media-automation)<a href="https://agentmods.dev/skills/jxoesneon/ciel/social-media-automation"><img src="https://agentmods.dev/badge/skills/jxoesneon/ciel/social-media-automation/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/jxoesneon/ciel/social-media-automation"><img src="https://agentmods.dev/badge/skills/jxoesneon/ciel/social-media-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00019 | $0.00497 |
| Opus 5 | $0.00010 | $0.00249 |
| Sonnet 5 | $0.00004 | $0.00099 |
| Haiku 4.5 | $0.00002 | $0.00050 |
Grade A, and why
social-media-automation scanned grade A with 0 findings 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 9d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
CIEL ADAPTATION: Social Media Automation (X & Cross-Post)
This skill formalizes the use of the X API and cross-platform workflows. it prioritizes rate-limit safety and voice consistency.
X API Standards
- Auth Discipline: Use OAuth 2.0 (Bearer) for Reads; OAuth 1.0a (User Context) for Writes. NEVER hardcode tokens.
- Thread Hygiene: Post threads sequentially, waiting for the previous
tweet_idbefore posting the reply. - Rate Limits: Read
x-rate-limit-remainingheaders. Mandate exponential backoff if < 5 remain. - Voice Matching: Pull 25 recent original posts to prime the
brand-voiceengine before drafting.
Cross-Platform Distribution
- Adaptation: Never post identical content to X and LinkedIn. X = Punchy/Threaded; LinkedIn = Narrative/Professional.
- Approval: Present the final draft and thread structure to the user before posting.
Operational Safety
- Sensitive Content: Use the
possibly_sensitiveflag when posting links to external trackers. - Media: Upload media via
upload.twitter.com/1.1before attachingmedia_idto a v2 tweet.
Anti-Patterns
- Token Exposure: Logging API secrets or bearer tokens in the console.
- Loop Spam: Retrying a failed post immediately without checking rate-limit reset headers.
- Amnesiac Threads: Posting 10 tweets simultaneously without
in_reply_to_tweet_id, creating 10 orphaned posts.
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.
- 9d ago First seen · 49 lines · 19 tokens per session scan A ff0ea4e3b7b7
social-media-automation is a skill published in the GitHub repository jxoesneon/Ciel (1 stars, last pushed 5d ago), licensed Apache-2.0. It adds 19 tokens to every session and 497 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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