rblclass: Skill for Claude Code

.claude/skills/feature-impl/SKILL.md

feature-impl is a skill for Claude Code from reboulip/rblclass. It costs 0 tokens per session (1,984 once invoked), scanned A, original, Apache-2.0.

A tool for implementing one planned RBLclass add-in task from start to finish. It follows an implementation brief, changes the required files, checks the result, and asks questions for verification.

In plain words
What is it for?
Use it to build a single feature, add its translations, verify the result, and update the add-in so it can be tested in Outlook.
Why use it?
It gives one roadmap task a defined workflow, reducing improvised changes and missed steps during development.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions CLAUDE.md; mentions subagents; names the AskUserQuestion tool.

This is reboulip/rblclass's own configuration. It tells Claude Code how to work on rblclass itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything rblclass configures →

Reuse

Borrowing it

Nothing to install: this file belongs to reboulip/rblclass. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/reboulip/rblclass/main/.claude/skills/feature-impl/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/reboulip/rblclass

Made for: Claude Code.

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Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,984 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00000 $0.01984
Opus 5.5 $0.00000 $0.00794
Sonnet 5.5 $0.00000 $0.00397
Haiku 4.5 $0.00000 $0.00198

Measured 2mo ago against content hash 9f1561cc8773, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

feature-impl 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.

.claude/skills/feature-impl/SKILL.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/feature-impl — implement one sprint item end-to-end

Prerequisites

An Implementation Brief (produced by the feature-prep subagent) must be in the current conversation context. If one is not present, invoke it now:

Agent({
  subagent_type: "feature-prep",
  description: "Prepare implementation brief",
  prompt: "Sprint: [version]\nItem: [label] — [title]\n\n[full roadmap item text]"
})

Then continue once the brief is returned.

Step 1 — State the item

Before touching any file, state clearly which item you are implementing (e.g. "Implementing v2.4.0.0 A1 — Clear the search field after classify"). This anchors the conversation.

Step 2 — Implement

Work through each file in the brief's "Files to modify" and "Files to create" sections. Read the current file content (or the relevant section) before editing. Apply exactly the changes described in "Required changes" — no opportunistic refactoring of surrounding code.

Follow CLAUDE.md coding rules throughout: no comments unless the WHY is non-obvious, no extra abstractions, no error handling for impossible cases.

Step 3 — Localization

For every key listed in the brief's "Localization" section:

  • Add the key + English value to src/RBLclass.AddIn/Resources/Strings.resx.
  • Add translated values to Strings.fr.resx and Strings.de.resx.

ResourceParityTests fails the build if any key is missing or has mismatched {n} placeholders — never skip this step.

Step 4 — xUnit tests

For every test case in the brief's "xUnit tests" section:

  • Add it to the specified test class in tests/RBLclass.Core.Tests/.
  • Run dotnet test tests/RBLclass.Core.Tests/ --verbosity minimal and confirm all tests pass before proceeding.

Step 5 — Build check

msbuild is not on PATH on this machine — resolve it via vswhere first (same lookup Reload-Addin.ps1 uses), then build to catch compilation errors before reloading into Outlook:

$vswhere = "${env:ProgramFiles(x86)}\Microsoft Visual Studio\Installer\vswhere.exe"
$msbuild = & $vswhere -latest -prerelease -products * -requires Microsoft.Component.MSBuild -find "MSBuild\**\Bin\MSBuild.exe" | Select-Object -First 1
if (-not $msbuild -or -not (Test-Path $msbuild)) { throw "MSBuild not found via vswhere." }
& $msbuild "src\RBLclass.AddIn\RBLclass.AddIn.csproj" /p:Configuration=Debug "/p:Platform=Any CPU" /t:Build /v:minimal /nologo

Read the full file on GitHub · 173 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. 2mo ago First seen · 173 lines · 0 tokens per session scan A 9f1561cc8773

Subscribe to this mod's changes

feature-impl is a skill published in the GitHub repository reboulip/rblclass (12 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,984 tokens. 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 2026-08-30.

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