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 plangit 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/plan)<a href="https://agentmods.dev/skills/tobihagemann/turbo/plan"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/plan/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/plan"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/plan.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 | $0.00045 | $0.00504 |
| Opus 5.5 | $0.00018 | $0.00202 |
| Sonnet 5.5 | $0.00009 | $0.00101 |
| Haiku 4.5 | $0.00005 | $0.00050 |
Grade A, and why
plan 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 3d 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 — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan
Analyze task complexity to recommend an execution mode, then let the user set the final route.
Categorize the user-supplied task along these dimensions using subjective judgment. This analysis makes the recommendation informed:
- Scope: single feature / single subsystem vs multi-feature / multi-subsystem
- Stakes: one-off change vs long-lived project with architectural implications
- Unknowns: clear approach vs needs exploration and product decisions
Modes are named by what they produce: no plan, or a plan file.
| Mode | Criteria | Route |
|---|---|---|
| Direct | Clear scope, with any remaining decisions small enough to settle in conversation rather than write down. Aligns on the shape, then implements. | Read references/direct-mode.md and follow its steps. |
| Plan | The approach warrants writing down before implementing — to survey patterns, settle architectural decisions, or survive a fresh session. Produces a plan file, however large the work turns out to be. | Read references/plan-mode.md and follow its steps. |
Recommend and Confirm the Route
Form a recommended route from the dimensions and criteria above. Output the recommendation as text: the recommended mode and a line or two on why it fits over its neighbor.
Then use AskUserQuestion to have the user set the final route. Offer the recommended mode first, marked "(Recommended)", alongside the other mode; the auto-appended "Other" lets the user describe a different path.
Add a third Get a second opinion option whenever committing to the wrong mode would cost a session of rework, and whenever the recommended mode does not earn "(Recommended)" with conviction. It runs the /consult-codex skill for the soundest route given the task's scope, stakes, and unknowns. Then resolve the route with that answer in hand, re-asking when the choice stays the user's.
Carry the confirmed route into its reference file from the table above and follow its steps.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago First seen · 36 lines · 45 tokens per session scan A 9d3d2ee360f0
plan is a skill published in the GitHub repository tobihagemann/turbo (420 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 504 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 2026-11-09.
plan compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| plantobihagemann/turbo | Skill | 420 | today | MIT | A | 45 | Claude Code |
| offensive-c2-frameworksSnailSploit/Claude-Red | Skill | 11k | yesterday | MIT | A | 250 | Claude Code, Codex |
| offensive-crypto-attacksSnailSploit/Claude-Red | Skill | 11k | yesterday | MIT | A | 261 | Claude Code, Codex |
| offensive-parameter-pollutionSnailSploit/Claude-Red | Skill | 11k | yesterday | MIT | A | 0 | Claude Code, Codex |
| offensive-z-waveSnailSploit/Claude-Red | Skill | 11k | yesterday | MIT | A | 113 | Claude Code, Codex |
| fiscalisteromainsimon/paperasse | Skill | 2.6k | today | MIT | A | 306 | Claude Code |
| comptableromainsimon/paperasse | Skill | 2.6k | today | MIT | A | 248 | Claude Code |