feature

A guided coding workflow that helps a developer define a feature, understand its key ideas, and build it in small slices while recording design decisions. TDD means test-driven development, but this description does not state that the skill requires it.

In plain words
What is it for?
Use it when starting a feature branch, mapping the concepts and relationships involved, implementing the work incrementally, and keeping session notes about the decisions made.
Why use it?
It addresses the problem of making changes without a shared understanding of the feature or the reasoning behind important implementation choices.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/baokhang83/fluencyloop/feature
Any agent
npx skills add baokhang83/fluencyloop --skill feature
Clone the repo
git clone --depth 1 https://github.com/baokhang83/fluencyloop

Made for: Claude Code, Codex.

Per session 140 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 11,146 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00140 $0.11146
Opus 5 $0.00070 $0.05573
Sonnet 5 $0.00028 $0.02229
Haiku 4.5 $0.00014 $0.01115

Measured yesterday against content hash c901d788c593, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

feature scanned grade B with 1 finding 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 yesterday.

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.

Strips warnings and disclaimersmediumAnti-refusal

Omitting safety caveats hides risk from the user and is a common jailbreak preamble.

each slice boundary. Never gate; never lecture. Keep the developer the author.
claude-skills/feature/SKILL.md · 683 lines

How it starts

The opening of the file, as written. The whole thing — 683 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/fluencyloop:feature — declare a feature, build it fluent

This is the contributor's entry point. A feature is a branch (feature/<slug>); it owns its design reasoning and session journals. You will: (1) declare the feature, (2) frame its concepts and relationships, (3) build it in slices — teaching and journaling one or two real decisions at each slice boundary. Never gate; never lecture. Keep the developer the author.

Bundled CLI (Claude Code)

Before invoking a deterministic command, use this plugin's bundled launcher: "${CLAUDE_PLUGIN_ROOT}/bin/fluencyloop" <arguments>. Every fluencyloop … command below means that exact Bash-tool command; it is never a chat instruction or a globally installed command.

Do not hand-scaffold .fluencyloop/, .claude/skills/, designs, sessions, state, or helper scripts. The bundled CLI creates the deterministic files and returns their paths.

Local site — open once

Before the first user-visible response, invoke "${CLAUDE_PLUGIN_ROOT}/bin/fluencyloop" site --ensure --open-once --json. This ensures the reader for every workflow entry, but opens a browser tab only once while that managed reader is alive. If it reports running: true and no earlier assistant message in this session starts with FluencyLoop site:, say FluencyLoop site: <url> (opened in browser). once, using its returned URL. Do not mention an unavailable site or repeat the announcement.

Generated prose — ASD-STE100

Write generated user-facing technical prose in ASD-STE100 style: use short, direct sentences, active voice, one main action per sentence, and stable, unambiguous terms. Preserve product names, code identifiers, CLI commands, field names, and exact recorded values. Do not claim formal ASD-STE100 compliance: that requires checking the official controlled dictionary and rules. Apply this style to live decision-boundary teaching as well as generated Markdown and PR prose. It makes the required explanation clearer; it does not shorten, skip, or replace that explanation.

Read the full file on GitHub · 683 lines

Changes

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.

  1. yesterday First seen · 683 lines · 140 tokens per session scan B c901d788c593

Subscribe to this mod's changes

feature is a skill published in the GitHub repository baokhang83/fluencyloop (44 stars, last pushed 16d ago), licensed Apache-2.0. It adds 140 tokens to every session and 11,146 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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