Borrowing it
Nothing to install: this file belongs to alecs5am/ralphy. 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/alecs5am/ralphy/main/.agents/skills/social-copy/SKILL.mdgit clone --depth 1 https://github.com/alecs5am/ralphyWrote 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/alecs5am/ralphy/social-copy)<a href="https://agentmods.dev/skills/alecs5am/ralphy/social-copy"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/social-copy/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/alecs5am/ralphy/social-copy"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/social-copy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00310 | $0.01986 |
| Opus 5 | $0.00155 | $0.00993 |
| Sonnet 5 | $0.00062 | $0.00397 |
| Haiku 4.5 | $0.00031 | $0.00199 |
Grade A, and why
social-copy 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
social-copy
The fast, batchable, on-voice social post copy layer — description + trending hashtags for a finished piece, shaped for TikTok / Reels / Shorts in one invocation. The skill DRAFTS; ralphy unit caption PERSISTS the copy into unit.json.
ALSO FIRE
- The user just rendered / formed a unit and asks "and now? what do I write under it?" (any language).
- The user drops a niche + "give me trending hashtags" with no caption ask — still this skill (hashtag bank + format shaping).
- A batch of reels just finished and the user wants copy for all of them → bulk mode.
DO NOT FIRE
- The user wants aligned-to-VO subtitles / SRT burned into the video — that is
ralphy generate captions(a different surface). This skill is the social POST copy. - The user wants the script / scenario itself — that is the scenarist playbook.
- The user wants to publish to the library — that is
templater/dev-publish-template; caption is an input that path can carry.
Hard invariants
- Target-audience language drives the copy, NOT the chat language. Same rule as intake: if the audience is German, the post is German even if the user is chatting in English / Russian. Offer EN + the audience language. Pass
--language <lang>to the verb. - Source-ground every copy block. Pull from the unit's
title/blurb/tags/ provenance, the project brief, and — when present — the reference reel'smeta.info.json/ transcript / on-screen text. Copy must describe the ACTUAL content, never a generic guess. - Match the niche's native voice. Meme / brainrot register for the aura format; professional for a brand ad. The niche is read from the matched #412 content-mode / the unit's tags / provenance, then carried into the draft.
- Hashtags come from the maintained bank, not invented. The per-niche trending-tag bank lives at
cli/lib/social/hashtag-bank.ts(niche spine + format tags + broad-reach, deduped + ordered). Trend tags rot — see the staleness note below. - Append-only on the persisted caption.
ralphy unit captionnever clobbers an existing caption: re-drafting requires--force, which archives the prior intocaption_versions. AGENTS.md invariant #14.
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.
- 10d ago First seen · 115 lines · 310 tokens per session scan A 0bbfb35a7604
social-copy is a skill published in the GitHub repository alecs5am/ralphy (132 stars, last pushed 15d ago), licensed Apache-2.0. It adds 310 tokens to every session and 1,986 once invoked, about $0.0015 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 2026-08-30.
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