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 zsutxz/ClaudeLearning --skill bmad-edit-prdgit clone --depth 1 https://github.com/zsutxz/ClaudeLearningWrote 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/zsutxz/claudelearning/bmad-edit-prd)<a href="https://agentmods.dev/skills/zsutxz/claudelearning/bmad-edit-prd"><img src="https://agentmods.dev/badge/skills/zsutxz/claudelearning/bmad-edit-prd/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/zsutxz/claudelearning/bmad-edit-prd"><img src="https://agentmods.dev/badge/skills/zsutxz/claudelearning/bmad-edit-prd.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 | $0.00035 | $0.00713 |
| Opus 5 | $0.00017 | $0.00357 |
| Sonnet 5 | $0.00007 | $0.00143 |
| Haiku 4.5 | $0.00003 | $0.00071 |
Grade A, and why
bmad-edit-prd 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.
This is a copy
83% identical to bmad-create-prd — 16 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 31 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DEPRECATED — forwards to bmad-prd (update intent)
This skill was consolidated into bmad-prd. It is retained as a thin compatibility shim so existing invocations by name and _bmad/custom/bmad-edit-prd.toml override files keep working. New work should invoke bmad-prd directly — it detects create / update / validate intent from the conversation.
On Activation
-
Resolve customization:
python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow. This picks up any{project-root}/_bmad/custom/bmad-edit-prd.tomlandbmad-edit-prd.user.tomloverrides for the legacy fields (activation_steps_prepend,activation_steps_append,persistent_facts,on_complete). -
Load
{project-root}/_bmad/bmm/config.yaml(andconfig.user.yamlif present) to resolve{user_name}and{communication_language}. -
Emit a deprecation notice to the user in
{communication_language}:Notice:
bmad-edit-prdis deprecated and will be removed in a future release. It now forwards tobmad-prdwith update intent. To silence this notice and access the full new customization surface (prd_template,validation_checklist,doc_standards,external_sources,external_handoffs,output_dir,output_folder_name), migrate_bmad/custom/bmad-edit-prd.tomlto_bmad/custom/bmad-prd.tomland invokebmad-prddirectly next time. Customization fields that were in this version still remain in the new version and will be respected if present in_bmad/custom/bmad-prd.toml, but the new version also supports additional fields that you can take advantage of by migrating. -
Invoke
bmad-prdwith the following context. Pass these as the activating context sobmad-prdhonors them instead of resolving its own customization from scratch:- Intent:
update— skipbmad-prd's usual intent detection step. - Pre-resolved legacy customization — use these in place of resolving from
bmad-prd's owncustomize.tomlfor the four legacy fields. For everything else (prd_template,validation_checklist,validation_report_template,doc_standards,output_dir,output_folder_name,external_sources,external_handoffs), usebmad-prd's own defaults and overrides as normal:activation_steps_prepend= the resolved value from step 1activation_steps_append= the resolved value from step 1persistent_facts= the resolved value from step 1on_complete= the resolved value from step 1
- Original user input: forward whatever the user said when invoking this skill verbatim (the target PRD path, the change signal, etc.).
- Intent:
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 · 31 lines · 35 tokens per session scan A 31ecfe3c1651
bmad-edit-prd is a skill published in the GitHub repository zsutxz/ClaudeLearning (5 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 713 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to bmad-create-prd, differing in 16 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…