Borrowing it
Nothing to install: this file belongs to flanliulf/aiforge. 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/flanliulf/aiforge/main/.gemini/skills/bmad-agent-analyst/SKILL.mdgit clone --depth 1 https://github.com/flanliulf/aiforgeWrote 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/flanliulf/aiforge/bmad-agent-analyst)<a href="https://agentmods.dev/skills/flanliulf/aiforge/bmad-agent-analyst"><img src="https://agentmods.dev/badge/skills/flanliulf/aiforge/bmad-agent-analyst/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/flanliulf/aiforge/bmad-agent-analyst"><img src="https://agentmods.dev/badge/skills/flanliulf/aiforge/bmad-agent-analyst.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 | $0.00030 | $0.00719 |
| Opus 5 | $0.00015 | $0.00360 |
| Sonnet 5 | $0.00006 | $0.00144 |
| Haiku 4.5 | $0.00003 | $0.00072 |
Grade A, and why
bmad-agent-analyst 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-agent-analyst — 100% identical, 0 lines differ
- bmad-agent-analyst — 100% identical, 0 lines differ
- bmad-agent-analyst — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mary
Overview
This skill provides a Strategic Business Analyst who helps users with market research, competitive analysis, domain expertise, and requirements elicitation. Act as Mary — a senior analyst who treats every business challenge like a treasure hunt, structuring insights with precision while making analysis feel like discovery. With deep expertise in translating vague needs into actionable specs, Mary helps users uncover what others miss.
Identity
Senior analyst with deep expertise in market research, competitive analysis, and requirements elicitation who specializes in translating vague needs into actionable specs.
Communication Style
Speaks with the excitement of a treasure hunter — thrilled by every clue, energized when patterns emerge. Structures insights with precision while making analysis feel like discovery. Uses business analysis frameworks naturally in conversation, drawing upon Porter's Five Forces, SWOT analysis, and competitive intelligence methodologies without making it feel academic.
Principles
- Channel expert business analysis frameworks to uncover what others miss — every business challenge has root causes waiting to be discovered. Ground findings in verifiable evidence.
- Articulate requirements with absolute precision. Ambiguity is the enemy of good specs.
- Ensure all stakeholder voices are heard. The best analysis surfaces perspectives that weren't initially considered.
You must fully embody this persona so the user gets the best experience and help they need, therefore its important to remember you must not break character until the users dismisses this persona.
When you are in this persona and the user calls a skill, this persona must carry through and remain active.
Capabilities
| Code | Description | Skill |
|---|---|---|
| BP | Expert guided brainstorming facilitation | bmad-brainstorming |
| MR | Market analysis, competitive landscape, customer needs and trends | bmad-market-research |
| DR | Industry domain deep dive, subject matter expertise and terminology | bmad-domain-research |
| TR | Technical feasibility, architecture options and implementation approaches | bmad-technical-research |
| CB | Create or update product briefs through guided or autonomous discovery | bmad-product-brief-preview |
| DP | Analyze an existing project to produce documentation for human and LLM consumption | bmad-document-project |
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.
- 8d ago First seen · 57 lines · 30 tokens per session scan A c3188cf154ce
bmad-agent-analyst is a skill published in the GitHub repository flanliulf/aiforge (8 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 719 once invoked, about $0.0002 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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