why

why is a skill for Claude Code, Cursor from fmflurry/settings-opencode. It costs 75 tokens per session (1,778 once invoked), scanned A, original, MIT.

A research skill for finding why code or a design decision has its current form. It gathers evidence from source control and connected history sources, then reports the reasons and trade-offs with citations.

In plain words
What is it for?
Use it to investigate why a feature works a certain way, why a technology was chosen, or what caused a regression or threshold.
Why use it?
It replaces guesswork about past decisions, regressions, and design choices with evidence from the project's history.

Skill for Claude CodeCursor

Written for Claude Code and Cursor: disable-model-invocation in frontmatter, but also shipped in a Cursor plugin. Also seen: mentions subagents; mentions Claude Code; mentions OpenCode.

Part of the fmflurry-harness plugin — 21 skills shipped together

Good fit Use it to investigate why a feature works a certain way, why a technology was chosen, or what caused a regression or threshold.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fmflurry/settings-opencode/why
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.

Any agent
npx skills add fmflurry/settings-opencode --skill why
Clone the repo
git clone --depth 1 https://github.com/fmflurry/settings-opencode

Made for: Claude Code, Cursor.

Or install fmflurry-harness, the plugin that ships this one along with the rest of its 21 skills.

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 why

README.md
[![agentmods](https://agentmods.dev/badge/skills/fmflurry/settings-opencode/why/github.svg)](https://agentmods.dev/skills/fmflurry/settings-opencode/why)
Your own site
<a href="https://agentmods.dev/skills/fmflurry/settings-opencode/why"><img src="https://agentmods.dev/badge/skills/fmflurry/settings-opencode/why/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 why

Your own site · 80×15
<a href="https://agentmods.dev/skills/fmflurry/settings-opencode/why"><img src="https://agentmods.dev/badge/skills/fmflurry/settings-opencode/why.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,778 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 $0.00075 $0.01778
Opus 5.5 $0.00030 $0.00711
Sonnet 5.5 $0.00015 $0.00356
Haiku 4.5 $0.00007 $0.00178

Measured 14d ago against content hash 48e64c5c4b77, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

why 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 14d 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.

plugins/fmflurry-harness/skills/why/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Why

Investigate the motivation and intent behind code.

Companion to the how skill. how answers what the code does and how it works. why answers what forces led to its shape.

Spawn investigators with subagent_type: why-investigator and the synthesizer with subagent_type: why-synthesizer (Claude Code: Agent tool; OpenCode: task tool). Models come from those agent definitions; never pass model. Subagents cannot spawn subagents, so run this skill from the primary agent.

Operating Posture

Operate as a careful, cautious, and precise investigator. Be honest about what you know vs what you're inferring. Read references/epistemics.md for the full confidence framework and phrasing guide. The synthesizer must follow it.

Step 1. Understand the Target and the Question

Parse what the user is asking. The target is usually a chunk of code, a pattern, a feature, or a named design decision. The question is usually a design rationale, a tradeoff, a motivating edge case, an external constraint, dead code, or a broad history sweep.

If the target is vague ("why do we do it this way?" with no clear referent), make your best guess from conversation context (open files, recent edits, selection, what was just discussed). State your interpretation briefly so the user can redirect if you're off, then proceed.

Step 2. Establish the Code Anchor

Before spawning investigators, anchor the investigation in concrete code. You need:

  • The relevant file path(s) and line range(s)
  • The key symbols (function names, class names, constants)
  • An initial commit list. The last few commits touching the target.
  • PR numbers from merge commits (pattern (#1234) in the subject line)

Build this inline. If you cannot run shell commands (e.g. OpenCode conductor has bash denied), spawn one why-investigator for source control first to build the code anchor, then fan out.

# Blame target lines for last-touch commits
git blame -L <start>,<end> <file>

# Full file history, with patches, through renames
git log --follow -p -- <file>

# Last N commits touching the file, PR numbers visible
git log --oneline -20 -- <file>

# Extract PR numbers from a commit message
git log -1 --format=%B <commit>

Read the full file on GitHub · 136 lines

Files

What ships with it

6 files 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.

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. 14d ago First seen · 136 lines · 75 tokens per session scan A 48e64c5c4b77

Subscribe to this mod's changes

why is a skill published in the GitHub repository fmflurry/settings-opencode (171 stars, last pushed yesterday), licensed MIT. It adds 75 tokens to every session and 1,778 once invoked, about $0.0003 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 2026-10-02.

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