detail

A skill for writing detailed implementation plans from feature requests or checked audit findings. It defines the work pieces, files, testing evidence, review ownership, and plan status.

In plain words
What is it for?
Use it to prepare implementation plans for features, improvements, or scoped engineering requests.
Why use it?
It turns a broad request into an organized plan with clear boundaries and verification steps, making the work easier to implement and maintain.

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/howells/arc/detail
Any agent
npx skills add howells/arc --skill detail
Clone the repo
git clone --depth 1 https://github.com/howells/arc

Made for: Claude Code, Codex.

Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,807 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00034 $0.01807
Opus 5 $0.00017 $0.00903
Sonnet 5 $0.00007 $0.00361
Haiku 4.5 $0.00003 $0.00181

Measured 2d ago against content hash cf424dc9b763, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

detail 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 2d 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/arc/skills/detail/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<tool_restrictions>

EnterPlanMode and ExitPlanMode are banned. This skill is Arc's plan-writing process.

</tool_restrictions>

<arc_runtime> Requires the full Arc bundle. Arc-owned paths (agents/, references/, disciplines/, templates/, scripts/, rules/, skills/) resolve from the plugin root — the directory containing agents/ and skills/. Everything else is the user's repository. </arc_runtime>

<required_reading> Read before planning:

  1. references/implementation-assurance.md — posture, ownership, review, verification ladder
  2. references/task-granularity.md — normative XML and slice cohesion
  3. references/testing-patterns.md — seams and work-kind evidence
  4. references/checkpoint-patterns.md — genuine human gates
  5. references/arc-paths.md — artifact locations
  6. references/plan-lifecycle.md — plan header, drift, status, decision log </required_reading>

1. Load the scope input

detail accepts either:

  • a feature spec from implement, preferring docs/arc/specs/*-spec.md;
  • a vetted finding from improve, including evidence, impact, fix sketch, and out-of-scope candidates; or
  • a direct scoped request forwarded by implement with no spec behind it. Elicit the missing scope through questions (per references/question-loops.md) rather than substituting a stale spec. If no user is available, resolve what you can from the request's own constraints and repo evidence, record every unanswered question in the Decision log, and mark the plan unconfirmed.

Never substitute an unrelated recent spec for a vetted finding. Derive the output filename in docs/arc/plans/ using the canonical paths reference.

2. Detect the project and baseline

Detect package manager, framework, test commands, and repository verification commands from project files (packageManager field, then lockfile, then default npm). If no test runner exists, use the repository's documented test entry point; if there is no test entry but other verification scripts exist (typecheck, build, lint), use those. A documented command that cannot run in the current environment (missing node_modules) is recorded as an environment prerequisite, never replaced with an invented one. When no automated verification entry point exists, specify a concrete observable state rather than inventing a command.

Read the full file on GitHub · 191 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. 2d ago First seen · 191 lines · 34 tokens per session scan A cf424dc9b763

Subscribe to this mod's changes

detail is a skill published in the GitHub repository howells/arc (25 stars, last pushed 18d ago), licensed MIT. It adds 34 tokens to every session and 1,807 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 2026-08-30.

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