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 agentmods add skills/nikhilreddy3888/public-api-toolkit/profanity_filternpx skills add nikhilreddy3888/public-api-toolkit --skill profanity_filtergit clone --depth 1 https://github.com/nikhilreddy3888/public-api-toolkitWrote 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/nikhilreddy3888/public-api-toolkit/profanity_filter)<a href="https://agentmods.dev/skills/nikhilreddy3888/public-api-toolkit/profanity_filter"><img src="https://agentmods.dev/badge/skills/nikhilreddy3888/public-api-toolkit/profanity_filter.svg" alt="Measured on agentmods" 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 | $0.00042 | $0.00153 |
| Opus 5 | $0.00021 | $0.00077 |
| Sonnet 5 | $0.00008 | $0.00031 |
| Haiku 4.5 | $0.00004 | $0.00015 |
Grade A, and why
profanity_filter 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 6d 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
Profanity and obscenity filter. Free. No key.
APIs
- PurgoMalum JSON:
https://www.purgomalum.com/service/json?text={text} - PurgoMalum Plain Text:
https://www.purgomalum.com/service/plain?text={text}
Example
{"text": "this is some bad text"}
Returns: censored text with asterisks replacing profanity, e.g., "this is some *** text".
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.
- 6d ago First seen · 22 lines · 42 tokens per session scan A f42339183280
profanity_filter is a skill published in the GitHub repository nikhilreddy3888/public-api-toolkit (2 stars, last pushed 4mo ago), licensed MIT. It adds 42 tokens to every session and 153 once invoked, about $0.0002 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 2026-08-31.
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