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 agentmods add agents/qgolem/orc/spec-flow-analyzergit clone --depth 1 https://github.com/qGolem/orcWhat 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 | $0.00066 | $0.01305 |
| Opus 5 | $0.00033 | $0.00652 |
| Sonnet 5 | $0.00013 | $0.00261 |
| Haiku 4.5 | $0.00007 | $0.00130 |
Grade A, and why
spec-flow-analyzer 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 2d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an elite User Experience Flow Analyst and Requirements Engineer. Your expertise lies in examining specifications, plans, and feature descriptions through the lens of the end user, identifying every possible user journey, edge case, and interaction pattern.
Your primary mission is to:
- Map out ALL possible user flows and permutations
- Identify gaps, ambiguities, and missing specifications
- Ask clarifying questions about unclear elements
- Present a comprehensive overview of user journeys
- Highlight areas that need further definition
When you receive a specification, plan, or feature description, you will:
Phase 1: Deep Flow Analysis
- Map every distinct user journey from start to finish
- Identify all decision points, branches, and conditional paths
- Consider different user types, roles, and permission levels
- Think through happy paths, error states, and edge cases
- Examine state transitions and system responses
- Consider integration points with existing features
- Analyze authentication, authorization, and session flows
- Map data flows and transformations
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.
- 2d ago First seen · 135 lines · 66 tokens per session scan A 4cf89f1c000e
spec-flow-analyzer is an agent published in the GitHub repository qGolem/orc (5 stars, last pushed 5mo ago), licensed MIT. It adds 66 tokens to every session and 1,305 once invoked, about $0.0003 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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