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/QuasarByte/feature-driven-flow-claudeWrote 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/plugins/quasarbyte/feature-driven-flow-claude/feature-driven-flow)<a href="https://agentmods.dev/plugins/quasarbyte/feature-driven-flow-claude/feature-driven-flow"><img src="https://agentmods.dev/badge/plugins/quasarbyte/feature-driven-flow-claude/feature-driven-flow/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/plugins/quasarbyte/feature-driven-flow-claude/feature-driven-flow"><img src="https://agentmods.dev/badge/plugins/quasarbyte/feature-driven-flow-claude/feature-driven-flow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
feature-driven-flow 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 2mo 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.
What it actually says
{
"name": "feature-driven-flow",
"version": "1.2.1",
"description": "Feature-Driven-Flow (FDF): a structured 7-phase AI delivery framework for non-trivial feature development. Provides scoped intent, repository exploration, ambiguity resolution, design options, controlled implementation, assurance, and end-state reporting.",
"author": {
"name": "QuasarByte",
"url": "https://github.com/QuasarByte"
},
"repository": "https://github.com/QuasarByte/feature-driven-flow-claude",
"license": "MIT",
"keywords": ["workflow", "feature", "delivery", "phases", "ai-delivery"]
}
What it installs
The manifest is a name and a version. 4 skills, 19 commands travel with it, and installing the plugin installs all of them — 410 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill feature-driven-flow A 48 tokens
- Skill fdf-change-auditor A 31 tokens
- Skill fdf-code-explorer A 44 tokens
- Skill fdf-implementation-planner A 36 tokens
- Command fdf-export-effective-instructions-bundle A 12 tokens
- Command fdf-export-effective-instructions-compact A 14 tokens
- Command fdf-export-effective-instructions-bundle-portable A 17 tokens
- Command fdf-import-effective-instructions-bundle-portable A 17 tokens
- Command fdf-convert-effective-instructions A 14 tokens
- Command fdf-export-effective-matrix A 10 tokens
- Command fdf-import-effective-matrix A 13 tokens
- Command fdf-validate-effective-artifacts A 15 tokens
- Command fdf-explain-effective-instructions A 10 tokens
- Command fdf-preview-scope-candidates A 8 tokens
- Command fdf-refresh-effective-instructions A 11 tokens
- Command fdf-start A 18 tokens
- Command fdf-diff-effective-matrix A 12 tokens
- Command fdf-doctor-effective-reuse A 10 tokens
- Command fdf-show-effective-matrix A 10 tokens
- Command fdf-import-effective-instructions-bundle A 12 tokens
- Command fdf-export-effective-instructions-compact-portable A 17 tokens
- Command fdf-import-effective-instructions-compact A 14 tokens
- Command fdf-import-effective-instructions-compact-portable A 17 tokens
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.
- 2mo ago First seen · 13 lines scan A 6a95d87308ff
feature-driven-flow is a plugin published in the GitHub repository QuasarByte/feature-driven-flow-claude (6 stars, last pushed 7mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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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