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 pawbytes/skill-suites --skill paw-tools-setupgit clone --depth 1 https://github.com/pawbytes/skill-suitesWrote 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/pawbytes/skill-suites/paw-tools-setup)<a href="https://agentmods.dev/skills/pawbytes/skill-suites/paw-tools-setup"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-tools-setup/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/pawbytes/skill-suites/paw-tools-setup"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-tools-setup.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00038 | $0.00563 |
| Opus 5.5 | $0.00015 | $0.00225 |
| Sonnet 5.5 | $0.00008 | $0.00113 |
| Haiku 4.5 | $0.00004 | $0.00056 |
Grade B, and why
paw-tools-setup scanned grade B with 1 finding 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.
Subtle steeringmediumPrompt injection
Instructions that bias recommendations or shape behaviour without the user noticing.
Ask the user for values. Show defaults in brackets. Present all values together so the user can respond once with only the values they want to change (e.g. "change language to Swahili, rest are fine"). Never tell the use How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pawbytes Tools Setup
Overview
Installs and configures Pawbytes Tools module into a project. Collects user preferences and writes them to:
{project-root}/.pawbytes/config/config.yaml— shared Pawbytes ecosystem configuration{project-root}/.pawbytes/config/config.user.yaml— personal settings (gitignored, contains API keys)
{project-root} is a literal token in config values — never substitute it with an actual path. It signals to the consuming LLM that the value is relative to the project root.
On Activation
- Read
./assets/module.yamlfor module metadata and variable definitions - Check if
{project-root}/.pawbytes/config/config.yamlexists — if present, inform the user this is an update
If the user provides arguments (e.g. accept all defaults, --headless, or inline values), map provided values to config keys, use defaults for the rest, and skip interactive prompting.
Collect Configuration
Ask the user for values. Show defaults in brackets. Present all values together so the user can respond once with only the values they want to change (e.g. "change language to Swahili, rest are fine"). Never tell the user to "press enter" or "leave blank" — in a chat interface they must type something to respond.
Default priority (highest wins): existing config values > ./assets/module.yaml defaults.
Module config: Read each variable in ./assets/module.yaml that has a prompt field. Ask using that prompt with its default value (or existing value if available).
Write Files
Write the collected configuration to:
{project-root}/.pawbytes/config/config.yaml
User-specific settings (API keys) go to:
{project-root}/.pawbytes/config/config.user.yaml
Create directories if they don't exist.
Create Output Directories
After writing config, create any output directories that were configured. Resolve the {project-root} token to the actual project root and create each path-type value that does not yet exist. Use mkdir -p or equivalent.
What ships with it
2 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 First seen · 58 lines · 38 tokens per session scan B dad717e6c5ee
paw-tools-setup is a skill published in the GitHub repository pawbytes/skill-suites (114 stars, last pushed 16d ago), licensed MIT. It adds 38 tokens to every session and 563 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (subtle steering). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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