executing-plans

executing-plans is a skill for Claude Code, Codex from mtnyilmaz/agents. It costs 56 tokens per session (1,588 once invoked), scanned A, original, MIT.

A procedure for carrying out an existing implementation plan step by step in the current coding session. The plan remains the source of truth, with review and human checkpoints during execution.

In plain words
What is it for?
Use it when a dated plan already exists in the project and its tasks need to be executed, tested, and handed off in sequence.
Why use it?
It keeps tightly connected work in order and makes progress easier to inspect when separate agents are unavailable or unsuitable.

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/mtnyilmaz/agents/workflow-executing-plans
Any agent
npx skills add mtnyilmaz/agents --skill workflow-executing-plans
Clone the repo
git clone --depth 1 https://github.com/mtnyilmaz/agents

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 executing-plans

README.md
[![agentmods](https://agentmods.dev/badge/skills/mtnyilmaz/agents/workflow-executing-plans.svg)](https://agentmods.dev/skills/mtnyilmaz/agents/workflow-executing-plans)
Your own site
<a href="https://agentmods.dev/skills/mtnyilmaz/agents/workflow-executing-plans"><img src="https://agentmods.dev/badge/skills/mtnyilmaz/agents/workflow-executing-plans.svg" alt="Measured on agentmods" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,588 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 $0.00056 $0.01588
Opus 5 $0.00028 $0.00794
Sonnet 5 $0.00011 $0.00318
Haiku 4.5 $0.00006 $0.00159

Measured 4d ago against content hash 8de9766c3517, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

executing-plans 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 4d 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/workflow-executing-plans/SKILL.md · 150 lines

How it starts

The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Executing Plans

Overview

Load the plan, review it critically, execute tasks in order, verify each step, and hand off to the finishing skill. The plan is the source of truth — if you find yourself improvising, stop.

This skill is the inline executor. If your environment supports subagents, prefer workflow-subagent-driven instead — it produces higher-quality output for loosely-coupled tasks.

When to Use

  • Plan exists at .agents/plans/YYYY-MM-DD-<name>.md
  • Subagents unavailable, or tasks are tightly coupled (each task depends on in-memory context from the previous)
  • You want human checkpoints between batches rather than between every task

When NOT to use:

  • No plan exists → use workflow-writing-plans first
  • Tasks are independent and subagents are available → use workflow-subagent-driven
  • Single-file trivial change → just do it, no plan needed

The Workflow

Load plan ─→ Critical review ─→ Create TodoWrite ─→ Execute task loop ─→ Finishing skill
                    │                                      │
                    ▼                                      ▼
             Raise concerns                     Per task: follow steps
             before starting                    exactly, run verifications,
                                                mark complete

Step 1 — Load and Review the Plan

  1. Read the plan file end to end.
  2. Review critically. Before executing anything, ask yourself:
    • Does every task have the code, verification command, and commit written out?
    • Are type/name usages consistent across tasks?
    • Any placeholders (TBD, TODO, similar to, appropriate)?
    • Does the plan violate universal rules (soft delete, i18n, @latest, Route→Service→DB)?
  3. If you find problems → stop and raise them with the human before starting. Don't patch a broken plan silently.
  4. If the plan is clean → create a TodoWrite with one entry per task, mark the first as in_progress, continue.

Read the full file on GitHub · 150 lines

Files

What ships with it

1 file 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. 4d ago First seen · 150 lines · 56 tokens per session scan A 8de9766c3517

Subscribe to this mod's changes

executing-plans is a skill published in the GitHub repository mtnyilmaz/agents (6 stars, last pushed 3mo ago), licensed MIT. It adds 56 tokens to every session and 1,588 once invoked, about $0.0003 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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