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 J-StaR-Films-Studios/VibeCode-Protocol-Suite --skill poteto-modegit clone --depth 1 https://github.com/J-StaR-Films-Studios/VibeCode-Protocol-SuiteWrote 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/j-star-films-studios/vibecode-protocol-suite/poteto-mode)<a href="https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/poteto-mode"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/poteto-mode/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/j-star-films-studios/vibecode-protocol-suite/poteto-mode"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/poteto-mode.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 | $0.00023 | $0.04280 |
| Opus 5 | $0.00012 | $0.02140 |
| Sonnet 5 | $0.00005 | $0.00856 |
| Haiku 4.5 | $0.00002 | $0.00428 |
Grade A, and why
poteto-mode 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 8d 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.
This is a copy
89% identical to poteto-mode — 65 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Poteto mode
Non-negotiables
Start every multi-step task with a todolist whose first item is to read the Principles section below in full. The principles ground every trigger here. In your reply, name each principle that shaped a decision and the specific choice it changed. A citation with no decision behind it means you skipped its leaf skill; it must trace to a real choice the leaf's rule drove.
Remaining triggers:
- Nontrivial change, architecture decision, or "are we sure?" → the how skill.
- About to
AskQuestionon a "which approach", "how should I", or "what should this do" fork → classify it before you ask. If the answer is a fact you could observe by running something (behavior, timing, layout, output, perf, even whether an eval separates), it is not the human's to answer. Sketch it via the Prototype playbook (playbooks/prototype.md) and let the result decide. If the task is a read-only Investigation whose deliverable is a cited answer, stay in it and answer from the evidence rather than building a sketch. Reserve the question for a genuine product or preference call no experiment can settle. The ask is the slow path. A throwaway probe usually answers faster, and it hands the human a result to react to instead of a decision to make. - Any code → name the data shape first, and choose its organizing structure per principle-model-the-domain.
- Code crossing a function boundary → the architect skill, parallel design exploration before implementing.
- Parallel fan-out → the swarm skill for coverage matrices, races, gauntlets, and exploration partitions. Use arena for design or code bakeoffs with base selection and grafting.
- Contested design → the interrogate skill (multi-model adversarial) before shipping.
- Nontrivial multi-step → write the throughput checkpoint (Feature step 3).
- Any prose surface → the unslop skill. Your reply is a prose surface; write it per Writing the reply. Agent-facing prose also follows the create-skill skill (Cursor's built-in for authoring SKILL.md files).
- Docs, RFCs, readmes, PR descriptions, or commit messages → the technical-writing skill (
/technical-writing). - Before commit → the
deslopskill from thecursor-team-kitplugin (/deslop). - Before review → the no-comments skill (
/no-comments). - Shipping UI / IDE / CLI → the matching control skill.
cursor-team-kitpublishescontrol-cli(CLIs and TUIs) andcontrol-ui(browser / Electron / web UIs). For bug fixes, reproduce first on the same surface yourself; hand to the user only under the narrow Bug fix step 1 exception. - Any PR-status request → the Babysit playbook (
playbooks/babysit.md), and not Cursor's built-in babysit skill, whose description matches the same words. That includes "babysit this", "get it green", "address the bugbot comments", and the commonest phrasing, "check on PR X" / "anything outstanding on X". Never triggered by merely opening a PR. Declare its mode before polling; the playbook's step 1 owns the request-to-mode mapping. Reaching fordriveinside a phase agent stops that agent finishing its turn. - Asked to land or ship a green stack → the Shipping playbook (
playbooks/shipping.md). Green is not safe. Nothing gets armed before an independent per-PR verdict, and only the contiguous verified run from the root lands. - Bugbot or the agentic security review commented → skeptical posture. They catch real bugs and also file non-issues and nitpicks, so assess each on its merits and dismiss noise with a concrete reason instead of churning code. Triage fix / dismiss / ask per
references/bugbot-triage.md. - Broken skill mid-task → fix it in its own PR. Don't block. Don't silently work around it.
- Long, autonomous, or multi-phase work, or any task the user steps away from to review later ("going to bed", "trust it when i'm back", "/loop until X") → a decision trail via the show-me-your-work skill. Commit it when stakes need an auditable record; keep it local otherwise.
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.
- 8d ago First seen · 140 lines · 23 tokens per session scan A 1fa72880a4d2
poteto-mode is a skill published in the GitHub repository J-StaR-Films-Studios/VibeCode-Protocol-Suite (24 stars, last pushed yesterday), licensed ISC. It adds 23 tokens to every session and 4,280 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to poteto-mode, differing in 65 lines, and is treated as a copy.
Other skills, from other repositories
happiness-skill
A Chinese-language guide to happiness based on reducing unmet wants, focusing on the present, and treating happiness as a trainable skill.
setup-matt-pocock-skills
A setup skill that configures engineering skills for a repository, including its issue tracker, labels, and documentation layout. A repository is the project folder managed by version control.
frontend-design
A design guide for building polished web interfaces such as pages, dashboards, forms, navigation, and reusable UI components. It covers HTML, CSS, JavaScript, and common frontend frameworks.
alterlab-cobrapy
Build and analyze genome-scale constraint-based metabolic models with COBRApy — flux balance analysis (FBA), flux variability analysis (FVA), gene and reaction knockouts, flux sampling, and SBML model I/O. Use when simulating metabolic networks, predicting growth or knockout phenotypes, or running systems-biology and…
alterlab-depmap
Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity data, and gene effect profiles. Use when identifying cancer-specific genetic vulnerabilities, finding synthetic lethal interactions, checking whether a gene is essential in given cell lines, or…
alterlab-qutip
Simulates open quantum systems with QuTiP, the Quantum Toolbox in Python, solving Lindblad master equations (mesolve), Monte Carlo trajectories (mcsolve), and unitary dynamics (sesolve). Use when studying master-equation or Lindblad dynamics, decoherence, dissipation, quantum optics, cavity QED, or open-system time…