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 Codoop/codoop-flow --skill codoop-discovergit clone --depth 1 https://github.com/Codoop/codoop-flowWrote 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/codoop/codoop-flow/codoop-discover)<a href="https://agentmods.dev/skills/codoop/codoop-flow/codoop-discover"><img src="https://agentmods.dev/badge/skills/codoop/codoop-flow/codoop-discover/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/codoop/codoop-flow/codoop-discover"><img src="https://agentmods.dev/badge/skills/codoop/codoop-flow/codoop-discover.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 | $0.00067 | $0.04415 |
| Opus 5.5 | $0.00027 | $0.01766 |
| Sonnet 5.5 | $0.00013 | $0.00883 |
| Haiku 4.5 | $0.00007 | $0.00441 |
Grade A, and why
codoop-discover 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 28d 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 — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Discovery & Design Loop
This skill guides the AI to act as an Orchestrator running a decentralized, multi-role collaborative pipeline to discover, validate, and architect products or features. It ensures strict avoidance of assumptions, leverages multi-perspective analysis, and produces production-grade BDD specifications and system architectures.
It is designed to be compatible with Codex, Claude Code, Cursor Desktop, and other coding agents that can read files and write project docs.
Project Paths
Read [project_paths] from the session's explicit config or the Git root's
.codoop-flow/codoop_flow.toml (legacy fallback: root codoop_flow.toml) before
designing implementation. The Runtime's codoop.py config-path resolves the path
from the target repository or a subdirectory.
If it is missing, run the sibling codoop-init skill first.
The keys describe the system project type; the values are the real directories and may use any existing name. Design code only for listed projects. Treat unlisted systems as external context or contracts, never implementation work.
Also read output_language. Use it for every user-facing message, question,
summary, generated document, and delegated role prompt. "auto" or a missing
field follows the user's current language. An explicit request for the current
task overrides the config. Translate template headings and labels as needed;
never switch languages merely because a source document or template uses one.
Read user_role too; a missing value means general. It changes only the live
conversation: use normal professional terms inside the user's field, and explain
cross-field topics in plain language. The user's current request for simpler or
more professional language overrides it. Do not apply this profile to generated
documents, code, reports, or delegated agent prompts; those remain precise and
professional.
Sub-Agent Expert Roles
This skill invokes the following expert personas from the plugin Runtime (../../runtime/codoop-flow/agents/):
What ships with it
3 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.
- 28d ago Changed · +3 lines 225240369594
- 1mo ago First seen · 221 lines · 67 tokens per session scan A 98d65f40e8b1
codoop-discover is a skill published in the GitHub repository Codoop/codoop-flow (5 stars, last pushed 28d ago), licensed MIT. It adds 67 tokens to every session and 4,415 once invoked, about $0.0003 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 2026-08-31.
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