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 agentmods add skills/backnotprop/pstack/poteto-modenpx skills add backnotprop/pstack --skill poteto-modegit clone --depth 1 https://github.com/backnotprop/pstackWhat 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 | $0.00049 | $0.04326 |
| Opus 5 | $0.00024 | $0.02163 |
| Sonnet 5 | $0.00010 | $0.00865 |
| Haiku 4.5 | $0.00005 | $0.00433 |
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 yesterday.
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.
Copies of this mod
3 near-identical copies found in the catalogue:
- poteto-mode — 91% identical, 47 lines differ
- poteto-mode — 88% identical, 97 lines differ
- poteto-mode — 86% identical, 33 lines differ
How it starts
The opening of the file, as written. The whole thing — 141 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 ships with it
44 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.
- playbooks/authoring-a-skill.md 956 B
- playbooks/autonomous-run.md 2.0 KB
- playbooks/autopilot-full.md 4.4 KB
- playbooks/autopilot-stack.md 3.9 KB
- playbooks/babysit.md 8.1 KB
- playbooks/bug-fix.md 2.6 KB
- playbooks/eval.md 3.0 KB
- playbooks/feature.md 2.9 KB
- playbooks/hillclimb.md 4.4 KB
- playbooks/investigation.md 1.1 KB
- playbooks/multi-phase-plan.md 89 B
- playbooks/opening-a-pr.md 1.4 KB
- playbooks/orchestrate.md 17 KB
- playbooks/pause-safely.md 1.5 KB
- playbooks/perf-issue.md 3.4 KB
- playbooks/prototype.md 2.5 KB
- playbooks/refactoring.md 3.9 KB
- playbooks/runtime-forensics.md 1.4 KB
- playbooks/session-pickup.md 2.1 KB
- playbooks/shipping.md 4.0 KB
- playbooks/trace-forensics.md 2.0 KB
- playbooks/visual-parity.md 1.3 KB
- playbooks/worktree-cleanup.md 2.9 KB
- references/bugbot-triage.md 9.4 KB
- references/plan.md 4.9 KB
- scripts/bootstrap.ts 1.7 KB runs code
- scripts/bun.lock 6.5 KB
- scripts/orch/orch.test.ts 18 KB runs code
- scripts/orch/orch.ts 15 KB runs code
- scripts/orch/store.ts 42 KB runs code
- scripts/package.json 352 B
- scripts/watch-pr/cli.test.ts 6.0 KB runs code
- scripts/watch-pr/cli.ts 6.8 KB runs code
- scripts/watch-pr/fakes.test-helper.ts 2.9 KB runs code
- scripts/watch-pr/github.test.ts 8.8 KB runs code
- scripts/watch-pr/github.ts 24 KB runs code
- scripts/watch-pr/policy.test.ts 12 KB runs code
- scripts/watch-pr/policy.ts 25 KB runs code
- scripts/watch-pr/render.ts 6.9 KB runs code
- scripts/watch-pr/tsconfig.json 270 B
- scripts/watch-pr/types.compile.ts 2.2 KB runs code
- scripts/watch-pr/types.ts 12 KB runs code
- scripts/watch-pr/watch-pr 211 B
- scripts/worktree-audit.sh 3.9 KB runs code
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.
- yesterday First seen · 141 lines · 49 tokens per session scan A 3b6793bdaead
Poteto Mode is a skill published in the GitHub repository backnotprop/pstack (165 stars, last pushed 12d ago), licensed MIT. It adds 49 tokens to every session and 4,326 once invoked, about $0.0002 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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