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 tobihagemann/turbo --skill note-improvementgit clone --depth 1 https://github.com/tobihagemann/turboWrote 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/tobihagemann/turbo/note-improvement)<a href="https://agentmods.dev/skills/tobihagemann/turbo/note-improvement"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/note-improvement/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/tobihagemann/turbo/note-improvement"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/note-improvement.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 | $0.00107 | $0.01401 |
| Opus 5.5 | $0.00043 | $0.00560 |
| Sonnet 5.5 | $0.00021 | $0.00280 |
| Haiku 4.5 | $0.00011 | $0.00140 |
Grade A, and why
note-improvement 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 16d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Note Improvement
Capture improvement opportunities discovered during work so they don't get silently dropped. Appends to the .turbo/improvements.md backlog of the repo an improvement concerns.
Step 1: Locate the Improvements File
Each repo keeps its improvements file at .turbo/improvements.md relative to that repo's root. Resolve that root with git -C <repo path> rev-parse --show-toplevel, except inside a linked worktree — where git -C <repo path> rev-parse --git-dir differs from --git-common-dir — in which case use the parent of the common dir, so the entry lands in the main checkout rather than in a worktree that is destroyed with its branch.
Step 2: Identify the Improvement
Gather from context or $ARGUMENTS:
- What: One-line summary of the improvement
- Type: One of
direct,investigate, orplan— see criteria below - Category: One of
refactor,performance,reliability,readability,testing,docs,dx(developer experience), orfeature - Where: File path(s) and/or area of the codebase affected
- Why: Brief rationale — what's the benefit?
- Ceiling and Revisit: when the entry records a deliberate simplification, meaning a simpler approach was shipped in place of a fuller one and accepts a known limit — the limit the shipped approach accepts, and the condition that makes the fuller version worth building. Revisit alone when the entry waits on an outside event: that event
Type criteria
- direct — Clear scope and a known approach, ready to apply via
/implement. - investigate — A symptom that needs root-cause analysis first: unclear root cause, performance question, intermittent bug, "something feels off".
- plan — Everything else: the approach warrants writing down before implementing (multi-file refactor, test additions, feature work).
When the criteria above clearly select one value, use it. Otherwise, use AskUserQuestion to confirm; default to plan if the user declines to choose.
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.
- 16d ago Changed d099e9540434
- 22d ago Changed 218a7a148c1d
- 28d ago Changed · +2 lines 01e6491e18f8
- 1mo ago Changed · +1 lines 173635b3098d
- 1mo ago Changed · +1 lines 540044d91f9f
- 1mo ago First seen · 79 lines · 107 tokens per session scan A 3c7afda405a8
note-improvement is a skill published in the GitHub repository tobihagemann/turbo (416 stars, last pushed 3d ago), licensed MIT. It adds 107 tokens to every session and 1,401 once invoked, about $0.0004 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 2026-08-30.
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