Borrowing it
Nothing to install: this file belongs to 2233admin/design-pipeline. 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/2233admin/design-pipeline/main/.agents/skills/bmad-forge-idea/SKILL.mdgit clone --depth 1 https://github.com/2233admin/design-pipelineWrote 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/2233admin/design-pipeline/bmad-forge-idea)<a href="https://agentmods.dev/skills/2233admin/design-pipeline/bmad-forge-idea"><img src="https://agentmods.dev/badge/skills/2233admin/design-pipeline/bmad-forge-idea.svg" alt="Measured on agentmods" 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 | $0.00056 | $0.02293 |
| Opus 5 | $0.00028 | $0.01146 |
| Sonnet 5 | $0.00011 | $0.00459 |
| Haiku 4.5 | $0.00006 | $0.00229 |
Grade A, and why
bmad-forge-idea 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 8d 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
3 near-identical copies found in the catalogue:
- bmad-forge-idea — 100% identical, 0 lines differ
- bmad-forge-idea — 91% identical, 4 lines differ
- bmad-forge-idea — 91% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BMad Forge Idea
Overview
Take a half-formed idea and pressure-test it in conversation, while changing your mind is still cheap, until it becomes something the user can act on with conviction or reject. The main risk is what the user has not examined yet: unchecked assumptions and unresolved decisions usually become more expensive problems later.
The main goal is better thinking, not producing an artifact. Strengthening an idea, rejecting it, or thinking it through more clearly are all complete outcomes. Writing forged-idea.md to hand off to another workflow is optional. Do not steer the conversation toward "shall we build it?"
This skill can be used on many kinds of ideas. When the idea is about a product or feature, what survives may be written to forged-idea.md for later planning.
Lead by questioning, not lecturing. Ask one question at a time, press on weak points, and do not let vague claims pass without examination.
Conventions
- Scripts live in two places — run each from the exact path written, never assume co-location: the shared core scripts (
memlog.py,resolve_customization.py,resolve_config.py) are installed by BMad core at{project-root}/_bmad/scripts/and are never bundled here; this skill's ownresolve_personas.pyis at{skill-root}/scripts/. {workflow.<name>}resolves to fields in the mergedcustomize.toml[workflow]table.
On Activation
- Resolve customization:
uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow. On failure, read{skill-root}/customize.tomldirectly with defaults. Apply the resolved{workflow.*}values throughout. - Run each
{workflow.activation_steps_prepend}entry; treat each{workflow.persistent_facts}entry as foundational context (file:entries load their contents,skill:names a skill to consult, others are facts verbatim). - Resolve central config:
uv run {project-root}/_bmad/scripts/resolve_config.py --project-root {project-root} --key core; from the merged JSON read{user_name},{communication_language},{output_folder}. On failure use neutral defaults; never block. Greet{user_name}in{communication_language}and stay in it. - Note whether a BMad persona is already active in this conversation — the user loaded one (e.g. the analyst, the storyteller) and invoked the forge from within it. If so, that persona leads the session, in voice, throughout.
- Resume: glob
{workflow.forge_output_path}/**/.memlog.md(recursive, so it still finds sessions whenrun_folder_patternis overridden to nest paths) and read only each match's frontmatter to find any whosestatusis notcomplete. Offer to resume one — then read its full memlog once to rebuild state and continue append-only — or to start fresh. - Run each
{workflow.activation_steps_append}entry.
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.
- 8d ago First seen · 108 lines · 56 tokens per session scan A a838096deb87
bmad-forge-idea is a skill published in the GitHub repository 2233admin/design-pipeline (9 stars, last pushed 5d ago), licensed MIT. It adds 56 tokens to every session and 2,293 once invoked, about $0.0003 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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