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 LigphiDonk/Oh-my--paper --skill inno-pipeline-plannergit clone --depth 1 https://github.com/LigphiDonk/Oh-my--paperWrote 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/ligphidonk/oh-my--paper/inno-pipeline-planner)<a href="https://agentmods.dev/skills/ligphidonk/oh-my--paper/inno-pipeline-planner"><img src="https://agentmods.dev/badge/skills/ligphidonk/oh-my--paper/inno-pipeline-planner/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/ligphidonk/oh-my--paper/inno-pipeline-planner"><img src="https://agentmods.dev/badge/skills/ligphidonk/oh-my--paper/inno-pipeline-planner.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 | $0.00031 | $0.01561 |
| Opus 5 | $0.00015 | $0.00781 |
| Sonnet 5 | $0.00006 | $0.00312 |
| Haiku 4.5 | $0.00003 | $0.00156 |
Grade A, and why
inno-pipeline-planner 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
inno-pipeline-planner
Canonical Summary
Guides the user through an interactive conversation to define their research project, then generates research_brief.json and tasks.json. Use when starting a new project, when no research_brief.json exists, when the user wants to start from...
Trigger Rules
Use this skill when the user request matches its research workflow scope. Prefer the bundled resources instead of recreating templates or reference material. Keep outputs traceable to project files, citations, scripts, or upstream evidence.
Resource Use Rules
- Read from
references/only when the current task needs the extra detail.
Execution Contract
- Resolve every relative path from this skill directory first.
- Prefer inspection before mutation when invoking bundled scripts.
- If a required runtime, CLI, credential, or API is unavailable, explain the blocker and continue with the best manual fallback instead of silently skipping the step.
- Do not write generated artifacts back into the skill directory; save them inside the active project workspace.
Upstream Instructions
Inno Pipeline Planner
Run an interactive planning flow that turns user conversation into:
.pipeline/docs/research_brief.json.pipeline/tasks/tasks.json
Keep this file short. Load full schemas and field-level rules from:
references/pipeline-contract.md(index)
Read only what you need:
references/generation-rules.md: generation logic, ordering, dependencies,nextActionPromptreferences/brief-schema.md:.pipeline/docs/research_brief.jsoncontractreferences/tasks-schema.md:.pipeline/tasks/tasks.jsoncontract
Non-negotiables
- Work only inside the current project directory.
- Do not fabricate papers, datasets, metrics, or results.
- Ask follow-up questions when information is vague; do not guess.
- Ask in small batches (2-3 questions), not a long static form.
Workflow
1) Inspect existing pipeline state
Check:
.pipeline/docs/research_brief.json.pipeline/tasks/tasks.jsoninstance.json(legacy source)- Content in
Survey/,Ideation/,Experiment/,Publication/, andPromotion/directories (to detect pre-existing artifacts)
What ships with it
5 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.
- 12d ago First seen · 153 lines · 31 tokens per session scan A 961e18aaa460
inno-pipeline-planner is a skill published in the GitHub repository LigphiDonk/Oh-my--paper (724 stars, last pushed 4mo ago), licensed MIT. It adds 31 tokens to every session and 1,561 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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