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 jhlee0409/all-for-claudecode --skill ideategit clone --depth 1 https://github.com/jhlee0409/all-for-claudecodeWrote 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/jhlee0409/all-for-claudecode/ideate)<a href="https://agentmods.dev/skills/jhlee0409/all-for-claudecode/ideate"><img src="https://agentmods.dev/badge/skills/jhlee0409/all-for-claudecode/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/jhlee0409/all-for-claudecode/ideate"><img src="https://agentmods.dev/badge/skills/jhlee0409/all-for-claudecode/ideate.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 | $0.00021 | $0.01119 |
| Opus 5 | $0.00010 | $0.00560 |
| Sonnet 5 | $0.00004 | $0.00224 |
| Haiku 4.5 | $0.00002 | $0.00112 |
Grade A, and why
afc: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 9d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/afc:ideate — Explore and Structure a Product Idea
Transforms a rough idea, problem statement, or inspiration into a structured product brief (ideate.md). This is a pre-spec exploration tool — use it when you don't yet know exactly what to build. The output feeds directly into
/afc:specas input.
Relationship to Other Commands
afc:ideate (what to build?) → afc:spec (how to specify it) → afc:plan → afc:implement → ...
- ideate = "I have an idea but haven't decided the scope, audience, or approach yet"
- spec = "I know what to build and need a formal specification"
- ideate is never part of the auto pipeline — it's a standalone exploration tool
Arguments
$ARGUMENTS— (required) One of:- Rough idea:
"real-time collaborative whiteboard" - Problem statement:
"users keep losing unsaved work when the browser crashes" - Reference URL:
"https://example.com/competitor-product"(fetched and analyzed) - File path:
"./meeting-notes.md"(read and extracted)
- Rough idea:
Execution Steps
1. Parse Input
Determine the input type and extract raw content:
-
If
$ARGUMENTSstarts withhttp://orhttps://:- Fetch content via WebFetch
- Extract: product name, key features, target audience, value proposition
- Frame as: "Build something similar/better that addresses {gap}"
-
If
$ARGUMENTSis a file path (contains/or ends with.md/.txt):- Read the file content
- Extract: action items, feature requests, pain points, user feedback
- Frame as: structured requirements from raw notes
-
Otherwise: treat as a natural language idea/problem statement
2. Market & Context Research
Perform lightweight research to ground the idea in reality:
-
Competitive landscape (WebSearch):
- Search:
"{core concept}" tool OR app OR service {current year} - Identify 3-5 existing solutions
- Note: what they do well, what gaps exist
- Search:
-
Technology feasibility (WebSearch, optional):
- If the idea involves unfamiliar tech: search for current state and constraints
- Tag findings with
[RESEARCHED]
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.
- 9d ago First seen · 116 lines · 21 tokens per session scan A dc8f52743393
afc:ideate is a skill published in the GitHub repository jhlee0409/all-for-claudecode (7 stars, last pushed 5mo ago), licensed MIT. It adds 21 tokens to every session and 1,119 once invoked, about $0.0001 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 2026-08-31.
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