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 allcolor/PawFlow-Agents --skill pawflow-helpergit clone --depth 1 https://github.com/allcolor/PawFlow-AgentsWrote 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/allcolor/pawflow-agents/pawflow-helper)<a href="https://agentmods.dev/skills/allcolor/pawflow-agents/pawflow-helper"><img src="https://agentmods.dev/badge/skills/allcolor/pawflow-agents/pawflow-helper/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/allcolor/pawflow-agents/pawflow-helper"><img src="https://agentmods.dev/badge/skills/allcolor/pawflow-agents/pawflow-helper.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 | $0.00027 | $0.00329 |
| Opus 5 | $0.00014 | $0.00164 |
| Sonnet 5 | $0.00005 | $0.00066 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
pawflow-helper 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 11d 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
PawFlow interface guidance
Use this skill when the user asks how to find, understand, configure, or use a PawFlow feature in the web interface.
Required workflow
- Call
pawflow-uiwithoperation=getbefore the first interface action. - Use only targets and actions returned by that semantic node.
- Prefer
guidewhen an interface surface must be opened and highlighted in one step. Keep the callout message under 200 characters. - Explain what was opened and what the user should see.
- Call
clearwhen the highlighted step is complete or the user cancels.
Safety boundary
- The helper opens, scrolls to, and highlights existing PawFlow surfaces.
- It does not submit forms, create or delete resources, change settings, reveal secrets, or invoke administrator operations.
- Never use or invent CSS selectors, DOM IDs, JavaScript, coordinates, or raw browser automation. Semantic target IDs are the only UI identifiers.
- If an action is unavailable, report the returned reason instead of claiming success.
- Ask the user to perform or explicitly confirm any state-changing step.
Avatar coordination
When avatar-ui is available, a brief playMotion or setMood call may
accompany a guide step. Do not require avatar animation for the UI operation to
succeed, and do not hide UI errors behind a gesture.
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.
- 11d ago First seen · 36 lines · 27 tokens per session scan A d6d29443a3a7
pawflow-helper is a skill published in the GitHub repository allcolor/PawFlow-Agents (25 stars, last pushed 3d ago), licensed MIT. It adds 27 tokens to every session and 329 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.
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