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 paruff/uFawkesAI --skill dojo-navigatorgit clone --depth 1 https://github.com/paruff/uFawkesAIWrote 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/paruff/ufawkesai/dojo-navigator)<a href="https://agentmods.dev/skills/paruff/ufawkesai/dojo-navigator"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/dojo-navigator/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/paruff/ufawkesai/dojo-navigator"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/dojo-navigator.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 | $0.00050 | $0.00578 |
| Opus 5.5 | $0.00020 | $0.00231 |
| Sonnet 5.5 | $0.00010 | $0.00116 |
| Haiku 4.5 | $0.00005 | $0.00058 |
Grade A, and why
dojo-navigator 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 20d 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: dojo-navigator
Load trigger: "load dojo-navigator skill" DORA: AI Capability 3: AI-accessible internal data + AI Capability 6: User-centric focus Token cost: Low
Purpose
When a task is about a specific delivery capability, the agent should surface the most relevant Dojo module before it starts implementing. The goal is to connect the repository workflow to the learning path, not to replace the issue or code plan.
Capability → Module Map
The full, versioned map lives in docs/DOJO_MAP.md. This skill should surface the relevant module from that source of truth rather than maintaining a second copy of the table.
Learning flow
Use this order for AI-assisted work:
- Read
AGENTS.mdand the task issue - Identify the relevant DORA AI capability
- Complete the corresponding Dojo module
- Implement the change in the repo
- Verify with the smallest relevant local check
Recommended response pattern
When invoked, the agent should answer in this shape:
Before implementing this capability, complete the relevant Fawkes Dojo module:
- Capability: AI Capability 5 — Working in small batches
- Dojo module: Yellow Belt / Module 05 — CI fundamentals
- URL: https://paruff.github.io/fawkes/dojo/modules/yellow-belt/module-05-ci-fundamentals/
- Why this matters: it teaches the delivery pattern that matches the task and gives a short, testable practice before code changes.
Examples
- Working on CI pipeline? Complete Yellow Belt Module 05 — CI fundamentals.
- Working on DORA metrics / deployment telemetry? Complete White Belt Module 02 — DORA metrics.
- Working on platform architecture or feedback loops? Complete Brown Belt Module 13 — Metrics, logs, and traces.
- Working on user value / stakeholder alignment? Complete Black Belt Module 17 — Platform as product.
Output contract
The agent must surface:
- The task’s DORA capability
- The matching Dojo belt and module name
- The public module URL
- A sentence explaining why the module is relevant to the task
- One concrete implementation checkpoint in this repo after the module is complete
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.
- 20d ago First seen · 64 lines · 50 tokens per session scan A bf60cbfd9edd
dojo-navigator is a skill published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 578 once invoked, about $0.0002 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 2026-10-02.
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