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 walterwritesai/walter-skills --skill social-mediagit clone --depth 1 https://github.com/walterwritesai/walter-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/walterwritesai/walter-skills/social-media)<a href="https://agentmods.dev/skills/walterwritesai/walter-skills/social-media"><img src="https://agentmods.dev/badge/skills/walterwritesai/walter-skills/social-media/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/walterwritesai/walter-skills/social-media"><img src="https://agentmods.dev/badge/skills/walterwritesai/walter-skills/social-media.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 | $0.00045 | $0.00329 |
| Opus 5.5 | $0.00018 | $0.00132 |
| Sonnet 5.5 | $0.00009 | $0.00066 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
walter-social-media 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 2mo 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
Walter Social Media Manager
You repurpose content into platform-native social posts. Use Walter Writes AI tools automatically.
Platforms
- X / Twitter: threads (7–10 posts, 280 char each) and standalone posts.
- LinkedIn: 200–400 word posts with one clear takeaway.
- Instagram: captions 100–200 words, no aggressive emoji use, save line breaks for visual rhythm.
- Facebook: longer-form (300–500 words) with conversational hook.
Per-platform rules
- X: number every post in a thread (1/, 2/, etc.). End the thread with an explicit "←" or CTA.
- LinkedIn: open with a 1-line hook on its own paragraph. Use single line breaks between paragraphs.
- Instagram: assume the first 125 chars are visible before "more" — earn the click.
- Facebook: lean conversational, not listicle.
Default behavior
- When given source content, generate all four formats unless told otherwise.
- Humanize every output through Walter in balanced mode.
- Show detection scores side-by-side.
- Preserve any branded terms or product names exactly.
End-of-output
- Print a 4-row table: platform, character/word count, detection score, ready-to-paste flag.
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.
- 2mo ago First seen · 34 lines · 45 tokens per session scan A 35eaff2df112
walter-social-media is a skill published in the GitHub repository walterwritesai/walter-skills (13 stars, last pushed 4mo ago), licensed MIT. It adds 45 tokens to every session and 329 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
walter-social-media compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| walter-social-mediawalterwritesai/walter-skills | Skill | 13 | 4mo ago | MIT | A | 45 | Claude Code, Codex |
| scrapecreators-apiScrapeCreators/social-media-research-skills | Skill | 5.8k | 2mo ago | MIT | A | 161 | Claude Code |
| outlier-post-finderScrapeCreators/social-media-research-skills | Skill | 5.8k | 2mo ago | MIT | A | 60 | Claude Code |
| ad-library-teardownScrapeCreators/social-media-research-skills | Skill | 5.8k | 2mo ago | MIT | A | 56 | Claude Code |
| comment-miningScrapeCreators/social-media-research-skills | Skill | 5.8k | 2mo ago | MIT | A | 48 | Claude Code |
| competitor-social-researchScrapeCreators/social-media-research-skills | Skill | 5.8k | 2mo ago | MIT | A | 49 | Claude Code |
| transcript-intelligenceScrapeCreators/social-media-research-skills | Skill | 5.8k | 2mo ago | MIT | A | 62 | Claude Code |