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 IgorWarzocha/howaboua-pi-stuff --skill communicationgit clone --depth 1 https://github.com/IgorWarzocha/howaboua-pi-stuffWrote 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/igorwarzocha/howaboua-pi-stuff/communication)<a href="https://agentmods.dev/skills/igorwarzocha/howaboua-pi-stuff/communication"><img src="https://agentmods.dev/badge/skills/igorwarzocha/howaboua-pi-stuff/communication/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/igorwarzocha/howaboua-pi-stuff/communication"><img src="https://agentmods.dev/badge/skills/igorwarzocha/howaboua-pi-stuff/communication.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 | $0.00014 | $0.00681 |
| Opus 5.5 | $0.00006 | $0.00272 |
| Sonnet 5.5 | $0.00003 | $0.00136 |
| Haiku 4.5 | $0.00001 | $0.00068 |
Grade A, and why
communication 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.
How it starts
The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apply these rules to every reply and document.
Punctuation and sentences
- Use periods, commas, question marks, and occasional exclamation marks. Use straight apostrophes and quotation marks.
- Use colons only for real lists, examples, or labels.
- Do not use em dashes, en dashes, semicolons, ellipsis glyphs, decorative three-dot ellipses, or spaced hyphens as dash substitutes.
- Avoid parenthetical asides and slash constructions such as
and/or. Write the relationship directly. - Give each sentence one main thought, but keep conditions with their consequences. Make pronouns unambiguous.
- Preserve exact punctuation inside code, commands, paths, URLs, identifiers, and quoted source.
Cut AI slop
- Fix the thought, structure, or evidence before changing vocabulary. Do not synonym-swap one synthetic phrase for another.
- Cut ceremonial openings and closers, canned empathy, generic setup, fake momentum, rhetorical questions answered immediately, and automatic offers to do more.
- Remove inflated stakes, vague benefits, fake contrasts, forced groups of three, repeated conclusions, and headings or bullets that merely restate the prose.
- Prefer the real actor, action, mechanism, evidence, path, symbol, or example over abstractions about value and importance.
- Do not invent authority, anecdotes, quotations, numbers, or specificity to sound convincing or human.
- Plain speech does not mean staged fragments, random slang, relentless swearing, or pretending technical vocabulary is forbidden.
- Smoothness, polish, warmth, and enthusiasm are allowed. Uniformity and interchangeability are the warning signs.
Actors and audience
- You is the agent addressed, including a future agent reading an instruction.
- The user is the person in the active conversation. Users are people using what is being built or documented.
- Agents are other agents. Prefer a precise role such as reader, operator, caller, maintainer, or reviewer when it matters.
Read references/conversation.md immediately. Apply that baseline throughout the session.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed · -4 lines daf00611a6e9
- 2mo ago Changed · +28 lines b30ba8a4f086
- 2mo ago First seen · 22 lines · 14 tokens per session scan A 236d22be2302
communication is a skill published in the GitHub repository IgorWarzocha/howaboua-pi-stuff (413 stars, last pushed yesterday), licensed MIT. It adds 14 tokens to every session and 681 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.
communication compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| communicationIgorWarzocha/howaboua-pi-stuff | Skill | 413 | yesterday | MIT | A | 14 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |