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 skills/quasarbyte/feature-driven-flow-claude/feature-driven-flownpx skills add QuasarByte/feature-driven-flow-claude --skill feature-driven-flowgit 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/skills/quasarbyte/feature-driven-flow-claude/feature-driven-flow)<a href="https://agentmods.dev/skills/quasarbyte/feature-driven-flow-claude/feature-driven-flow"><img src="https://agentmods.dev/badge/skills/quasarbyte/feature-driven-flow-claude/feature-driven-flow.svg" alt="Measured on agentmods" 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 | $0.00048 | $0.00251 |
| Opus 5 | $0.00024 | $0.00125 |
| Sonnet 5 | $0.00010 | $0.00050 |
| Haiku 4.5 | $0.00005 | $0.00025 |
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 4d 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
Task: $ARGUMENTS
FDF plugin root: ${CLAUDE_SKILL_DIR}/../.. Resolve shared FDF runtime assets from the first available root in this order:
- project-local
./fdf/at the target project root - global Claude home
fdf/directory (for example%USERPROFILE%\.claude\fdfon Windows or~/.claude/fdfon macOS/Linux) - bundled plugin
fdf/under the resolved plugin root When running shell reads in PowerShell, wrap filesystem paths in single quotes, especially absolute paths that may contain spaces. Ifrgis unavailable, fall back to PowerShell-native discovery such asGet-ChildItem -Recurse -FileandSelect-String. Read${CLAUDE_SKILL_DIR}/behavior.mdand follow it exactly.
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.
- 4d ago First seen · 17 lines · 48 tokens per session scan A 23f665c8f4e2
feature-driven-flow is a skill published in the GitHub repository QuasarByte/feature-driven-flow-claude (5 stars, last pushed 5mo ago), licensed MIT. It adds 48 tokens to every session and 251 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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