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 tzachbon/smart-ralph --skill communication-stylegit clone --depth 1 https://github.com/tzachbon/smart-ralphWrote 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/tzachbon/smart-ralph/communication-style)<a href="https://agentmods.dev/skills/tzachbon/smart-ralph/communication-style"><img src="https://agentmods.dev/badge/skills/tzachbon/smart-ralph/communication-style/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/tzachbon/smart-ralph/communication-style"><img src="https://agentmods.dev/badge/skills/tzachbon/smart-ralph/communication-style.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 3 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high System Prompt Leakage · line 20 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00026 | $0.00692 |
| Opus 5 | $0.00013 | $0.00346 |
| Sonnet 5 | $0.00005 | $0.00138 |
| Haiku 4.5 | $0.00003 | $0.00069 |
Grade A, and why
communication-style 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Communication Style
Core Rule
Be extremely concise. Sacrifice grammar for concision.
Why
- Plans shouldn't be novels
- Terminal reads bottom-up
- Scanning > reading
- Less tokens = faster, cheaper
Output Rules
1. Brevity First
| Instead of | Write |
|---|---|
| "The user will be able to..." | "User can..." |
| "This component is responsible for..." | "Handles..." |
| "In order to achieve this, we need to..." | "Requires:" |
| "It should be noted that..." | (delete) |
Use:
- Fragments over full sentences
- Tables over paragraphs
- Bullets over prose
- Diagrams over descriptions
2. Structure for Scanning
Every output follows this order:
1. Brief overview (2-3 sentences MAX)
2. Main content (tables, bullets, diagrams)
3. Unresolved questions (if any)
4. Numbered action steps (ALWAYS LAST)
3. End with Action Steps
ALWAYS end with numbered concrete steps.
## Next Steps
1. Create auth module at src/auth/
2. Add JWT dependency
3. Implement login endpoint
4. Add tests
This is the LAST thing visible in terminal. Most important = most visible.
4. Surface Questions Early
Before action steps, list unresolved questions:
## Unresolved Questions
- OAuth provider preference? (Google, GitHub, both)
- Session duration requirement?
- Rate limiting needed?
Catches ambiguities before they become bugs.
Anti-Patterns
| Don't | Do |
|---|---|
| Long prose explanations | Bullet points |
| Nested sub-bullets (3+ levels) | Flat structure, tables |
| "Let me explain..." | (just explain) |
| Repeating context | Reference by ID |
| Hedging language | Direct statements |
Examples
Bad (verbose)
The authentication system will need to handle user login
functionality. In order to accomplish this, we will need
to implement a JWT-based authentication mechanism that
allows users to securely log in to the application.
Good (concise)
Auth system: JWT-based login
Components:
- Login endpoint: POST /auth/login
- Token generation: JWT with 24h expiry
- Middleware: verify token on protected routes
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 · 128 lines · 26 tokens per session scan A 902258f7aa20
communication-style is a skill published in the GitHub repository tzachbon/smart-ralph (537 stars, last pushed 6d ago), licensed MIT. It adds 26 tokens to every session and 692 once invoked, about $0.0001 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.
Other skills, from other repositories
remember
Review reusable project knowledge and decide what belongs in project memory, notepad, or durable docs.
docx-comment-reply
Reply to comments (批注) in Word .docx/.doc files: extract comment context, draft replies, write threaded replies back, and validate OOXML.
explaining-machine-learning-models
Explain trained machine learning models through feature attribution, local explanations, and behavior summaries. Use as an explicit/manual helper once a model already exists, not for training ownership, leakage auditing, or general ML strategy selection.
config-validator
Validate AIWG configuration files and project setup for correctness and completeness.
aiwg-regenerate-copilot
Regenerate copilot-instructions.md for GitHub Copilot with vendor-specific content only.
steward-prep-delivery
Steward-assisted prep for filing issues and PRs — environment capture, template selection, duplicate detection, delivery-policy compliance check.