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 contribute-turbogit 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/contribute-turbo)<a href="https://agentmods.dev/skills/tobihagemann/turbo/contribute-turbo"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/contribute-turbo/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/contribute-turbo"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/contribute-turbo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 81 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00058 | $0.00930 |
| Opus 5 | $0.00029 | $0.00465 |
| Sonnet 5 | $0.00012 | $0.00186 |
| Haiku 4.5 | $0.00006 | $0.00093 |
Grade A, and why
contribute-turbo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Contribute Turbo
Propose an improvement to a turbo skill as an issue on tobihagemann/turbo.
Step 1: Identify the Proposed Change
Confirm the local repo exists:
test -d ~/.turbo/repo
If it does not, tell the user to run the Turbo setup first and stop.
Detect skills whose installed copy has drifted from the repo baseline:
for skill in ~/.claude/skills/*/; do
name=$(basename "$skill")
repo_dir=~/.turbo/repo/claude/skills/"$name"
[ -d "$repo_dir" ] || continue
diff -rq "$skill" "$repo_dir" >/dev/null 2>&1 && continue
echo "$name"
done
For each drifted skill, read both versions of every file that differs and the single version of every file present on one side only. Classify each hunk and each one-sided file:
- Correction — a session edit meant to improve the skill upstream. Include it in the proposal.
- Customization — a persistent local addition that belongs to this machine only (extra workflow steps, personal paths, machine-specific notes, internal references). Leave it out of the proposal.
- Upstream-newer — content the repo copy carries and the installed copy lacks, left behind by a Skip or Exclude during an earlier update. Leave it out of the proposal.
- Ambiguous — use
AskUserQuestionto confirm classification.
When no corrections survive classification, take the proposed change from conversation context instead. When the conversation describes no change either, tell the user there is nothing to contribute and stop.
Present the corrections in a summary table:
| # | Skill | Change Summary |
|---|-------|----------------|
| 1 | /evaluate-findings | Added handling for security-default findings |
| 2 | /self-improve | Clarified routing for trusted reviewer feedback |
Use AskUserQuestion to confirm which corrections to propose.
Step 2: Craft Contribution Context
For each change, construct a "why" explanation. The goal: the turbo maintainer should understand what happened and why the existing instructions were insufficient, without learning anything about the contributor's project.
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.
- 12d ago First seen · 88 lines · 58 tokens per session scan A 6015aee0d2e9
contribute-turbo is a skill published in the GitHub repository tobihagemann/turbo (402 stars, last pushed 3d ago), licensed MIT. It adds 58 tokens to every session and 930 once invoked, about $0.0003 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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