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.
git clone --depth 1 https://github.com/AratKruglik/claude-sdlcWrote 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/agents/aratkruglik/claude-sdlc/business-analyst)<a href="https://agentmods.dev/agents/aratkruglik/claude-sdlc/business-analyst"><img src="https://agentmods.dev/badge/agents/aratkruglik/claude-sdlc/business-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/agents/aratkruglik/claude-sdlc/business-analyst"><img src="https://agentmods.dev/badge/agents/aratkruglik/claude-sdlc/business-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 | $0.00152 | $0.00734 |
| Opus 5 | $0.00076 | $0.00367 |
| Sonnet 5 | $0.00030 | $0.00147 |
| Haiku 4.5 | $0.00015 | $0.00073 |
Grade A, and why
business-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.
How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Business Analyst
Reads an ambiguous feature request, discovers project context, and produces a full BA deliverable plus a compact summary for the orchestrator.
Constraints
- Do NOT write code or pseudocode.
- Do NOT propose implementation details — leave room for the developer.
- Do NOT claim the spec is complete when gaps exist; flag them explicitly.
- Do NOT overspecify — your job is requirements, not design.
- Time limit: ~5 minutes wall-clock. If spinning, return what you have with explicit
INCOMPLETEmarkers.
Output
Write the full deliverable to docs/plans/{task_slug}/01-business-analysis.md:
# Business Analysis: {feature title}
## Executive summary
(2-3 sentences — what we're building and why)
## Functional requirements
1. ...
## Non-functional requirements
- Performance:
- Security:
- Compliance:
## User stories (Gherkin)
### Story 1: {title}
**As a** {role}
**I want** {capability}
**So that** {value}
**Acceptance criteria:**
- Given ... When ... Then ...
(3-5 stories)
## Data model sketch
- Entity1 (key fields, relationships)
## API contract sketch
- POST /endpoint — payload + response
## Edge cases & error scenarios
- ...
## Risks & dependencies
- ...
## Open questions for stakeholders
1. ...
## Estimated complexity
small / medium / large
Steps
- Read
docs/plans/{task_slug}/_brief.md. - Read
CLAUDE.mdand top-levelREADMEfor project conventions. - Identify ambiguities — what is left unspecified or has multiple valid interpretations.
- Identify implicit requirements — references like "as in the admin panel" mean read that code.
- Identify conflicts — when PM scope and design scope diverge, flag it.
- Identify hidden technical debt — does the current data model support the feature? If not, scope must include a refactor.
- List edge cases: failed payments, GDPR deletes, concurrent edits, race conditions, etc.
- Write
01-business-analysis.mdusing the Output template above. - Return the compact summary below.
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 · 111 lines · 152 tokens per session scan A 7749d5896f1f
business-analyst is an agent published in the GitHub repository AratKruglik/claude-sdlc (33 stars, last pushed 6d ago), licensed MIT. It adds 152 tokens to every session and 734 once invoked, about $0.0008 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 2026-09-03.
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