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-contentgit 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-content)<a href="https://agentmods.dev/skills/paruff/ufawkesai/dojo-content"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/dojo-content/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-content"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/dojo-content.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 | $0.00017 | $0.00351 |
| Opus 5 | $0.00009 | $0.00176 |
| Sonnet 5 | $0.00003 | $0.00070 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
dojo-content 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.
What it actually says
Skill: DOJO Content
Load trigger:
"load dojo-content skill"> DORA: AI Capability 3 (AI-assisted development) Token cost: Low
Purpose
Create educational content for DOJO sessions focused on platform engineering best practices, DORA metrics, and developer experience.
When to Run
| Situation | Run DOJO content? |
|---|---|
| New platform capability launched | Yes |
| DORA metrics show regression | Yes |
| Developer feedback indicates knowledge gap | Yes |
| Quarterly DOJO session scheduled | Yes |
Content Structure
## Title
[One-line description]
## Learning Objective
[What developers will know/do after this session]
## Prerequisites
- [Required knowledge]
## Content
[Main material - 500-1000 words]
## Hands-on Exercise
[Practical activity]
## Key Takeaways
- [3-5 bullet points]
Output Format
{
"skill": "dojo-content",
"topic": "string",
"target_audience": "string",
"content_path": "dojo/YYYY-MM-DD-topic.md",
"slides_path": "dojo/slides/YYYY-MM-DD-topic.md",
"exercise_path": "dojo/exercises/YYYY-MM-DD-topic.md"
}
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.
- 10d ago First seen · 69 lines · 17 tokens per session scan A 272756db79c9
dojo-content is a skill published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed 17d ago), licensed MIT. It adds 17 tokens to every session and 351 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 2026-08-31.
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