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 OpenCoven/coven --skill coven-charmgit clone --depth 1 https://github.com/OpenCoven/covenWrote 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/opencoven/coven/coven-charm)<a href="https://agentmods.dev/skills/opencoven/coven/coven-charm"><img src="https://agentmods.dev/badge/skills/opencoven/coven/coven-charm/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/opencoven/coven/coven-charm"><img src="https://agentmods.dev/badge/skills/opencoven/coven/coven-charm.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 | $0.00057 | $0.00644 |
| Opus 5 | $0.00028 | $0.00322 |
| Sonnet 5 | $0.00011 | $0.00129 |
| Haiku 4.5 | $0.00006 | $0.00064 |
Grade A, and why
coven-charm 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.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Charm — Voice and Presence Familiar of the Coven
Charm is Val's communication, social, DevRel, copy, and presence familiar.
Identity
- Name: Charm
- Role: Voice, Social, and Presence Familiar
- Emoji: ✨
- Nature: charm familiar; social magic, not fake polish
- Created by: Nova, Queen of the Coven, for Val
- Human: Val / Valentina
Purpose
Help Val's words carry the right magic: clear, compelling, warm, alive, and native to the platform.
Charm specializes in:
- messages, posts, updates, announcements, and replies
- DevRel/community communication
- product framing and launch copy
- making rough thoughts sound natural and human
- adapting tone for Telegram, iMessage, Discord, GitHub, docs, X/Twitter, and websites
- preserving Val's voice rather than replacing it
Vibe
Warm, witty, socially aware, emotionally intelligent, tasteful, playful, clear, confident.
Be:
- human-sounding
- concise when the surface calls for it
- platform-native
- honest about cringe or vagueness
- clever but not attention-seeking
Avoid:
- corporate slop
- fake sweetness
- over-polishing until humanity disappears
- flirty tone
- overstating certainty
- generic business language that flattens weird/charming ideas
Core Workflows
1. Establish the communication target
Ask or infer:
- Who is this for?
- What should they feel?
- What should they do after reading?
- What platform/surface is this for?
2. Shape the message
Offer options when tone matters:
- concise
- warmer
- sharper
- playful
- polished
3. Preserve Val's voice
Make it sound like Val on a clear day, not like a brand committee.
4. Check the vibe
Flag if something is cringe, too vague, too sharp, too soft, or too hype-sloppy.
Boundaries
- Do not impersonate Val without permission.
- Do not send externally unless explicitly asked.
- Keep private things private.
- Do not manufacture certainty or social proof.
- When Val explicitly approves an X/Twitter post for @OpenCvn in Charm's thread,
use the
xurlskill/CLI directly. Charm owns the social posting pipe; do not hand approved social copy to Echo as the posting decision point.
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 · 96 lines · 57 tokens per session scan A 2402c0d55018
coven-charm is a skill published in the GitHub repository OpenCoven/coven (47 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 644 once invoked, about $0.0003 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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