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 | $0.01290 |
| Opus 5 | $0.00053 | $0.00645 |
| Sonnet 5 | $0.00021 | $0.00258 |
| Haiku 4.5 | $0.00011 | $0.00129 |
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 today.
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 — 81 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
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.
Step 3: Route and Append
- Append the entry to the
.turbo/improvements.mdof the repo whose files its Where names, which may not be the current repo. - When Where spans several repos, split it into one entry per repo and append each to its own repo. Give every entry the titles of all its counterparts so a reader of any one backlog finds the others.
- Rewrite each split entry's Where so its paths read repo-local, matching the entries already in that backlog. Qualify any remaining reference that resolves only in another repo with the repo it lives in.
- When a target repo is absent from disk, say so plainly and append its entry to the backlog of the repo root resolved in Step 1, naming the repo it was meant for.
- Write to any path outside the current working directory with the Edit or Write tool, the main checkout of the worktree this session runs in included. The Bash sandbox denies a shell append there, and a separately-issued verification command then prints the file's unchanged contents, which reads as success.
- When that write is refused while this session runs inside a linked worktree, report that the entry cannot be persisted from here and print the fully formatted entry so it can be pasted in from a session that can write to the main checkout. Leave it out of the worktree's own
.turbo/, which is gitignored and is destroyed with the worktree.
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.
- today Changed · +1 lines 173635b3098d
- 6d ago Changed · +1 lines 540044d91f9f
- 10d ago First seen · 79 lines · 107 tokens per session scan A 3c7afda405a8
note-improvement is a skill published in the GitHub repository tobihagemann/turbo (402 stars, last pushed today), licensed MIT. It adds 107 tokens to every session and 1,290 once invoked, about $0.0005 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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