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 rajbos/ai-engineering-fluency --skill ai-fluencygit clone --depth 1 https://github.com/rajbos/ai-engineering-fluencyWrote 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/rajbos/ai-engineering-fluency/ai-fluency)<a href="https://agentmods.dev/skills/rajbos/ai-engineering-fluency/ai-fluency"><img src="https://agentmods.dev/badge/skills/rajbos/ai-engineering-fluency/ai-fluency/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/rajbos/ai-engineering-fluency/ai-fluency"><img src="https://agentmods.dev/badge/skills/rajbos/ai-engineering-fluency/ai-fluency.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 | $0.00059 | $0.00376 |
| Opus 5.5 | $0.00024 | $0.00150 |
| Sonnet 5.5 | $0.00012 | $0.00075 |
| Haiku 4.5 | $0.00006 | $0.00038 |
Grade A, and why
ai-fluency 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 yesterday.
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
AI Engineering Fluency canvas
The ai-fluency-canvas plugin provides a canvas with canvasId ai-fluency.
- To show the stats, open it:
open_canvas({ canvasId: "ai-fluency", instanceId: "ai-fluency" }). - To answer questions in chat, open the canvas as above, then call
invoke_canvas_action({ instanceId: "ai-fluency", actionName: "get_summary" }). It returns the cached snapshot's aggregate numbers and never runs the CLI. - Only pass
{ "topSessions": 1-25 }when the user asks about specific sessions: it adds session titles (often the user's first prompt) and project names to the result. - To update the numbers, call the
refreshaction. It returns once the refresh has begun (started: falsemeans another Copilot session is already refreshing and its result is used) and fails at once if it can't start. A run takes several minutes; pass{ "wait": true }only when the user wants to wait for fresh numbers. - If
get_summaryreturnsavailable: false, no snapshot exists yet: tell the user the first run parses all local session logs and takes a few minutes, then start arefresh.
The canvas reads local session logs and uploads nothing itself, but whatever get_summary returns becomes part of
this conversation and is sent to the model.
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.
- yesterday First seen · 24 lines · 59 tokens per session scan A 4ba72685149f
ai-fluency is a skill published in the GitHub repository rajbos/ai-engineering-fluency (119 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 376 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 2026-10-26.
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