design-pipeline: Skill for Claude Code

.agents/skills/bmad-technical-research/SKILL.md

bmad-technical-research is a skill for Claude Code, Codex from 2233admin/design-pipeline. It costs 21 tokens per session (432 once invoked), scanned A, original, MIT.

A retired technical-research command that passes requests to bmad-deep-recon, a newer tool for preparing and processing research across technical and other subjects.

In plain words
What is it for?
Use it when an existing workflow still calls bmad-technical-research. New technical research should use bmad-deep-recon instead.
Why use it?
It preserves older workflows while moving research work to the consolidated tool.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is 2233admin/design-pipeline's own configuration. It tells Claude Code and Codex how to work on design-pipeline itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything design-pipeline configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/2233admin/design-pipeline/main/.agents/skills/bmad-technical-research/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/2233admin/design-pipeline

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for bmad-technical-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/2233admin/design-pipeline/bmad-technical-research/github.svg)](https://agentmods.dev/skills/2233admin/design-pipeline/bmad-technical-research)
Your own site
<a href="https://agentmods.dev/skills/2233admin/design-pipeline/bmad-technical-research"><img src="https://agentmods.dev/badge/skills/2233admin/design-pipeline/bmad-technical-research/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.

agentmods 80×15 button for bmad-technical-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/2233admin/design-pipeline/bmad-technical-research"><img src="https://agentmods.dev/badge/skills/2233admin/design-pipeline/bmad-technical-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 432 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00021 $0.00432
Opus 5 $0.00010 $0.00216
Sonnet 5 $0.00004 $0.00086
Haiku 4.5 $0.00002 $0.00043

Measured 9d ago against content hash d8e6177fc03c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

bmad-technical-research 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/bmad-technical-research/SKILL.md · 15 lines

What it actually says

DEPRECATED — forwards to bmad-deep-recon (technical type)

This skill was consolidated into bmad-deep-recon. It is retained as a thin compatibility shim so existing invocations by name and _bmad/custom/bmad-technical-research.toml override files keep working. New work should invoke bmad-deep-recon directly — it drafts deep-research prompts for outside tools, processes finished reports into downstream-ready summaries, and runs research directly, across market, domain, technical, competitive, user-voice, and academic-lit types (plus a select shape for choose-between decisions and custom types).

On Activation

  1. Resolve customization: uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow. This picks up any {project-root}/_bmad/custom/bmad-technical-research.toml and bmad-technical-research.user.toml overrides for the legacy fields (activation_steps_prepend, activation_steps_append, persistent_facts, on_complete).
  2. Emit a deprecation notice to the user (in their configured communication language): bmad-technical-research is deprecated and forwards to bmad-deep-recon with the technical type. To silence this notice and access the full new surface (draft/process/run modes, research types, verification levels, HTML briefing, handoffs), migrate _bmad/custom/bmad-technical-research.toml to _bmad/custom/bmad-deep-recon.toml and invoke bmad-deep-recon directly.
  3. Invoke bmad-deep-recon with: research type technical (skip its type inference), the four legacy fields above as pre-resolved values, and the user's original input verbatim. bmad-deep-recon takes the workflow from here — do not execute any further steps in this shim.
Changes

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.

  1. 9d ago First seen · 15 lines · 21 tokens per session scan A d8e6177fc03c

Subscribe to this mod's changes

bmad-technical-research is a skill published in the GitHub repository 2233admin/design-pipeline (9 stars, last pushed 5d ago), licensed MIT. It adds 21 tokens to every session and 432 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.