enrich-phase-plan

enrich-phase-plan is a skill for Claude Code from TonyWu20/fortran-dev-pipeline. It costs 98 tokens per session (2,384 once invoked), scanned A, original, MIT.

A planning workflow that turns a high-level plan into a detailed TOML task list for implementation. It uses several specialist reviews and validation checks.

In plain words
What is it for?
Use it to break an approved plan into executor-ready tasks, revise unclear details, and check that the resulting TOML plan can be compiled.
Why use it?
It removes the need to manually expand broad project ideas into specific, checkable tasks. Reviews help find unclear steps before coding begins.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the fortran-dev-pipeline plugin — 7 skills, 6 agents, 2 hooks shipped together

Good fit Use it to break an approved plan into executor-ready tasks, revise unclear details, and check that the resulting TOML plan can be compiled.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tonywu20/fortran-dev-pipeline/enrich-phase-plan
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 TonyWu20/fortran-dev-pipeline --skill enrich-phase-plan
Clone the repo
git clone --depth 1 https://github.com/TonyWu20/fortran-dev-pipeline

Made for: Claude Code.

Or install fortran-dev-pipeline, the plugin that ships this one along with the rest of its 7 skills, 6 agents, 2 hooks.

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 enrich-phase-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/tonywu20/fortran-dev-pipeline/enrich-phase-plan/github.svg)](https://agentmods.dev/skills/tonywu20/fortran-dev-pipeline/enrich-phase-plan)
Your own site
<a href="https://agentmods.dev/skills/tonywu20/fortran-dev-pipeline/enrich-phase-plan"><img src="https://agentmods.dev/badge/skills/tonywu20/fortran-dev-pipeline/enrich-phase-plan/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 enrich-phase-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/tonywu20/fortran-dev-pipeline/enrich-phase-plan"><img src="https://agentmods.dev/badge/skills/tonywu20/fortran-dev-pipeline/enrich-phase-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,384 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 $0.00098 $0.02384
Opus 5 $0.00049 $0.01192
Sonnet 5 $0.00020 $0.00477
Haiku 4.5 $0.00010 $0.00238

Measured 12d ago against content hash b8560dcfbd1a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

enrich-phase-plan 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 12d 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.

skills/enrich-phase-plan/SKILL.md · 242 lines

How it starts

The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Enrich Phase Plan

Takes an approved high-level plan document and produces a detailed, executor-ready TOML implementation plan by running a pipeline of specialized agents over it.

Pipeline

fortran-architect (elaborate)
       ↓
plan-decomposer (break down into TOML)
       ↓
impl-plan-reviewer (review)
       ↓ [loop if Needs More Detail]
plan-decomposer (revise)
       ↓
dry-run compile (validate)
       ↓ [loop if fails, max 2]
fortran-architect (final review)

Step 1 — Identify the plan file

Ask the user for the path to the existing plan file if not already provided. Read it before proceeding.

Step 1.5 — Load deferred improvements and failure patterns (optional)

Deferred improvements: Search for deferred improvement files from prior phases:

fd deferred.md notes/pr-reviews/

If any are found, read them and include their contents in the fortran-architect elaboration prompt (Step 2) as additional context. This gives the architect visibility into improvements that were explicitly deferred — some may now be relevant to include.

Cross-round failure patterns: Search for fix plans from prior phases:

fd fix-plan.toml notes/pr-reviews/ | head -3

If any are found, read them and extract recurring issue categories. Look for patterns such as:

  • Missing use ModuleName statements (module wiring)
  • Missing public :: declarations for symbols needed by other modules
  • Incomplete consumer updates (module created but never used)
  • Stale use statements after refactoring
  • Cross-module integration failures (subroutine placed in wrong module)

Summarize the recurring categories as KNOWN_FAILURE_MODES. These will be passed to the plan-decomposer in Step 3 as proactive checks.

If no fix plans or deferred files exist, proceed without this context.

Step 2 — fortran-architect elaboration

Invoke the fortran-dev-pipeline:fortran-architect agent with this prompt:

You are reviewing the following implementation plan for the NEXT phase of work on a Fortran scientific codebase.

<plan>
{{PLAN_FILE_CONTENTS}}
</plan>

<deferred_improvements>
{{DEFERRED_CONTENTS — or "None" if no deferred.md files were found}}
</deferred_improvements>

Your job:
1. Identify what the next phase is trying to achieve.
2. Elaborate on implementation details that are underspecified — concrete subroutine signatures, INTENT declarations, MODULE locations, KIND parameters, error handling strategy (IOSTAT/STAT patterns).
3. Call out architectural cautions: numerical stability pitfalls, interface mismatches, module boundary violations, API surface decisions that are hard to reverse, places where the plan may conflict with Fortran idioms or the project's established patterns.
4. **Use LSP tools** to understand the current codebase state:
   - Use `LSP documentSymbol` to locate existing modules/subroutines mentioned in the plan
   - Use `LSP hover` to verify current subroutine signatures before proposing changes
   - Use `LSP references` to understand how existing subroutines are called
   - Use `LSP definition` to navigate to type/interface definitions
   - Check `LSP diagnostics` to identify any existing issues that might affect the plan
5. Do NOT decompose into tasks. Output a single enriched narrative that a plan-decomposer agent can use as input.

Read the full file on GitHub · 242 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. 12d ago First seen · 242 lines · 98 tokens per session scan A b8560dcfbd1a

Subscribe to this mod's changes

enrich-phase-plan is a skill published in the GitHub repository TonyWu20/fortran-dev-pipeline (5 stars, last pushed 4mo ago), licensed MIT. It adds 98 tokens to every session and 2,384 once invoked, about $0.0005 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 2026-08-31.

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