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FOUNDATION: Skill for Claude Code

.agents/skills/feature-remove/SKILL.md

feature-remove is a skill for Claude Code, Codex from danielterra/FOUNDATION. It costs 42 tokens per session (1,226 once invoked), scanned A, original, AGPL-3.0.

A removal workflow for permanently deleting a Foundation software feature and its linked user stories. It first finds dependent records and backlinks, then retracts them.

In plain words
What is it for?
Use it when retiring a Foundation feature by removing its child user stories and the feature record itself.
Why use it?
It helps prevent a feature from being removed while related work items still point to it.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is danielterra/FOUNDATION's own configuration. It tells Claude Code and Codex how to work on FOUNDATION 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 FOUNDATION configures →

not rated 19repo changed 9d ago A scan 42 tokens AGPL-3.0
View source ↗ danielterra/FOUNDATION
Reuse

Borrowing it

Nothing to install: this file belongs to danielterra/FOUNDATION. 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/danielterra/FOUNDATION/main/.agents/skills/feature-remove/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/danielterra/FOUNDATION

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for feature-remove

README.md
[![agentmods](https://agentmods.dev/badge/skills/danielterra/foundation/feature-remove/github.svg)](https://agentmods.dev/skills/danielterra/foundation/feature-remove)
Your own site
<a href="https://agentmods.dev/skills/danielterra/foundation/feature-remove"><img src="https://agentmods.dev/badge/skills/danielterra/foundation/feature-remove/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.

agentmods 80×15 button for feature-remove

Your own site · 80×15
<a href="https://agentmods.dev/skills/danielterra/foundation/feature-remove"><img src="https://agentmods.dev/badge/skills/danielterra/foundation/feature-remove.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,226 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 unknown 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 $0.00042 $0.01226
Opus 5.5 $0.00017 $0.00490
Sonnet 5.5 $0.00008 $0.00245
Haiku 4.5 $0.00004 $0.00123

Measured 9d ago against content hash 8105bb13ed46, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

feature-remove 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 9d 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.

.agents/skills/feature-remove/SKILL.md · 113 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 9d ago Changed · -1 lines 8105bb13ed46
  2. 2mo ago First seen · 114 lines · 42 tokens per session scan A 94c5fa2dcc18

Subscribe to this mod's changes

feature-remove is a skill published in the GitHub repository danielterra/FOUNDATION (19 stars, last pushed yesterday), licensed AGPL-3.0. It adds 42 tokens to every session and 1,226 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-04.

Project management
Related

feature-remove compared with skills from other repositories

feature-remove next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
feature-removedanielterra/FOUNDATIONSkill19yesterdayAGPL-3.0A42Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code