av/harbor is a command-line tool and companion app that uses Docker Compose to start a connected local stack of language-model backends, user interfaces, and supporting AI services. People use it to run services such as Ollama, llama.cpp, vLLM, Open WebUI, search, voice, and image-generation tools without configuring their connections manually, while the catalogue provides agent workflows for operating Harbor.
Borrowing it
Nothing to install: this file belongs to av/harbor. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/av/harbor/main/.agents/skills/ideate/SKILL.mdgit clone --depth 1 https://github.com/av/harborWrote 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/av/harbor/ideate)<a href="https://agentmods.dev/skills/av/harbor/ideate"><img src="https://agentmods.dev/badge/skills/av/harbor/ideate/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/av/harbor/ideate"><img src="https://agentmods.dev/badge/skills/av/harbor/ideate.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 | $0.00089 | $0.02635 |
| Opus 5.5 | $0.00036 | $0.01054 |
| Sonnet 5.5 | $0.00018 | $0.00527 |
| Haiku 4.5 | $0.00009 | $0.00264 |
Grade A, and why
ideate 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 2mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ideate — 100% identical, 453 lines differ
How it starts
The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ideate
Generate, stress-test, and rank ideas on any topic through iterative propose-and-critique cycles. Each iteration dispatches two subagents: one to propose an idea, one to tear it apart from the end-user perspective. The clock controls when you stop. The critique scores control what survives.
Your Role
You are the orchestrator. You do three things:
- Manage the clock — check time before every dispatch, stop when the deadline passes
- Dispatch subagent pairs — a proposer and a critic, every iteration
- Track scores and patterns — update the progress file, learn what the critic rewards and punishes
You do NOT propose ideas yourself. You do NOT critique ideas yourself. You do NOT do any research, code reading, or analysis. All intellectual work happens inside subagents. Your context is reserved for the dispatch loop and pattern tracking.
The Iron Law
YOU DO NOT DECIDE WHEN IDEATION IS DONE. THE CLOCK DECIDES.
Keep dispatching propose-and-critique pairs until the deadline passes. You have zero authority to judge "enough ideas" or "good enough." The user gave you a duration. You use all of it.
Inputs
The user provides two things:
- Topic — what to ideate on (e.g., "features for our CLI tool", "ways to reduce API latency", "naming options for the new service")
- Duration — how long to ideate (e.g., "30 minutes", "1 hour", "2 hours")
If the duration is vague ("a while"), interpret as 1 hour. If truly ambiguous, ask once.
Optionally, the user may specify:
- Top N — how many ideas to present at the end (default: 3)
- Context — a codebase, document, or domain to ground proposals in
The Process
digraph ideate {
rankdir=TB;
node [shape=box];
start [label="Record start time\nCompute deadline" shape=doublecircle];
init [label="Create progress file\nin /tmp"];
check [label="Check current time\nagainst deadline" shape=diamond];
read_log [label="Read progress file\nfor patterns"];
propose [label="Dispatch PROPOSER\nsubagent"];
critique [label="Dispatch CRITIC\nsubagent"];
update [label="Update progress file\nwith score + patterns"];
present [label="Present top N ideas\nwith scores + critiques" shape=doublecircle];
start -> init -> check;
check -> read_log [label="time remains"];
check -> present [label="deadline passed"];
read_log -> propose;
propose -> critique;
critique -> update;
update -> check;
}
What ships with it
1 file 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.
- 2mo ago First seen · 266 lines · 89 tokens per session scan A 432c26d1791a
ideate is a skill published in the GitHub repository av/harbor (3,263 stars, last pushed 6d ago), licensed Apache-2.0. It adds 89 tokens to every session and 2,635 once invoked, about $0.0004 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 2026-08-30.
ideate compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ideateav/harbor | Skill | 3.3k | 6d ago | Apache-2.0 | A | 89 | Claude Code, Codex |
| hugging-face-tool-buildersynthetic-sciences/openscience | Skill | 4.3k | 2d ago | Apache-2.0 | A | 67 | Claude Code, Codex |
| agent-builderchandrudp29/skillhub | Skill | 14 | 4mo ago | MIT | A | 42 | Claude Code, Codex |
| synapsedinglebear-ai/synapse | Skill | 2 | 4d ago | AGPL-3.0 | A | 67 | Claude Code |
| docker-essentialsasgarovf/locusai | Skill | 23 | 8mo ago | MIT | A | 35 | Claude Code |
| docker-managementfurkangonel/cowrangler | Skill | 1 | 1mo ago | MIT | C | 16 | Claude Code, Codex |
| clinicaltrials-databasesynthetic-sciences/openscience | Skill | 4.3k | 2d ago | Apache-2.0 | A | 47 | Claude Code, Codex |