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 simplify-allgit 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/simplify-all)<a href="https://agentmods.dev/skills/tobihagemann/turbo/simplify-all"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/simplify-all/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/simplify-all"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/simplify-all.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 | $0.00076 | $0.00335 |
| Opus 5 | $0.00038 | $0.00168 |
| Sonnet 5 | $0.00015 | $0.00067 |
| Haiku 4.5 | $0.00008 | $0.00034 |
Grade A, and why
simplify-all 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 5d 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
Simplify All
Step 1: Run /simplify-code and /simplify-docs Skills
Run the /simplify-code and /simplify-docs skills via the Skill tool in one assistant message, passing along any scope that was provided so both passes cover identical files.
Emit the Agent tool calls for every review agent the two skills define in one assistant message. Each Agent call uses model: "opus" and no name. Wait for every agent to report before continuing. Do not begin the next step on a partial set, and do not relaunch an agent that has not yet reported. State the count explicitly when emitting the calls. Hold every fix for Step 2 in place of each skill's own fix step.
Step 2: Fix Issues
Aggregate the findings and apply one round of fixes, following each skill's own guidance for resolving its findings.
Once this round's fixes have landed, including any resolved at a gate, make one pass over the agents' findings: any whose verdict depended on code the fixes changed, moved, added, or deleted gets decided again against the current tree, keeping resolutions the user already chose.
Then use the TaskList tool and proceed to any remaining task.
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.
- 5d ago First seen · 21 lines · 76 tokens per session scan A 6dac4bbf36c5
simplify-all is a skill published in the GitHub repository tobihagemann/turbo (402 stars, last pushed yesterday), licensed MIT. It adds 76 tokens to every session and 335 once invoked, about $0.0004 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 2026-09-03.
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