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-technical-research/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-technical-research)<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.
<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>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 | $0.00432 |
| Opus 5 | $0.00010 | $0.00216 |
| Sonnet 5 | $0.00004 | $0.00086 |
| Haiku 4.5 | $0.00002 | $0.00043 |
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- bmad-technical-research — 100% identical, 0 lines differ
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
- 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.tomlandbmad-technical-research.user.tomloverrides for the legacy fields (activation_steps_prepend,activation_steps_append,persistent_facts,on_complete). - Emit a deprecation notice to the user (in their configured communication language):
bmad-technical-researchis deprecated and forwards tobmad-deep-reconwith 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.tomlto_bmad/custom/bmad-deep-recon.tomland invokebmad-deep-recondirectly. - Invoke
bmad-deep-reconwith: research typetechnical(skip its type inference), the four legacy fields above as pre-resolved values, and the user's original input verbatim.bmad-deep-recontakes the workflow from here — do not execute any further steps in this shim.
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 · 15 lines · 21 tokens per session scan A d8e6177fc03c
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.
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