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 glincker/glin-profanity --skill censor_messagegit clone --depth 1 https://github.com/glincker/glin-profanityWrote 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/glincker/glin-profanity/censor_message)<a href="https://agentmods.dev/skills/glincker/glin-profanity/censor_message"><img src="https://agentmods.dev/badge/skills/glincker/glin-profanity/censor_message/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/glincker/glin-profanity/censor_message"><img src="https://agentmods.dev/badge/skills/glincker/glin-profanity/censor_message.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 | $0.00016 | $0.00375 |
| Opus 5.5 | $0.00006 | $0.00150 |
| Sonnet 5.5 | $0.00003 | $0.00075 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
censor_message 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 1mo 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
Censor Message Skill
When the user wants to send a message but have profanity automatically
censored, use the censor_text tool.
When to Use
- User says "censor this message"
- User wants to share content but remove bad words
- Preparing content for family-friendly platforms
- Moderating user content before posting
How to Use
- Call the
censor_texttool with the text - Return the censored version
- Optionally show what was censored
Parameters
text: The text to censorreplacement: Custom replacement (default: "***")languages: Array of languages to check
Example
Input: "What the fuck is this shit?" Output: "What the *** is this ***?"
Custom Replacements
Users can specify custom replacement strings:
- "[CENSORED]" for formal documents
- "****" for standard
- "" (empty) to remove entirely
- "[REDACTED]" for official-looking documents
Multi-language Support
Works with 24 languages. For non-English content, specify:
languages: ["spanish", "portuguese"]
Platform Integration
This skill works across all OpenClaw-supported platforms:
- Telegram
- Discord
- Slack
- iMessage
- And more...
Credits
Powered by glin-profanity
Compatible with OpenClaw, Moltbot (legacy), and Clawdbot (legacy).
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.
- 1mo ago First seen · 68 lines · 16 tokens per session scan A 6a3ccb8f6086
censor_message is a skill published in the GitHub repository glincker/glin-profanity (66 stars, last pushed 26d ago), licensed MIT. It adds 16 tokens to every session and 375 once invoked, about $0.0001 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 2026-08-30.
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