execute-plan

A command process for carrying out tasks from an approved software-work plan one at a time, with a human check after each task. A plan's tasks are the individual pieces of work needed to complete a larger feature.

In plain words
What is it for?
Use it to implement an approved feature step by step, review the evidence after each change, record decisions, and handle task dependencies in order.
Why use it?
It prevents the process from moving through many changes without review. Each task must have a way to verify the result before the next one starts.

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/danielvm-git/bigpowers/execute-plan
Any agent
npx skills add danielvm-git/bigpowers --skill execute-plan
Clone the repo
git clone --depth 1 https://github.com/danielvm-git/bigpowers

Made for: Claude Code, Codex.

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 587 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 $0.00037 $0.00587
Opus 5 $0.00018 $0.00293
Sonnet 5 $0.00007 $0.00117
Haiku 4.5 $0.00004 $0.00059

Measured 2d ago against content hash 553ec2a29e58, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

execute-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 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.

.cline/skills/execute-plan/SKILL.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Execute Plan

Execute tasks from the active epic (specs/epics/eNN-slug/epic.yaml story tasks[]) one at a time, showing evidence after each step before proceeding.

HARD GATE — Do NOT proceed if on main or master. Run kickoff-branch first.

HARD GATE — Active epic must exist with runnable verify on each task. If missing, run plan-release then plan-work or build-epic.

Process

1. Read the plan

Read specs/state.yaml (active_epic, active_story) and the matching specs/epics/*/epic.yaml. Parse depends-on in task descriptions for execution waves.

CONTEXT ISOLATION — Spawn each skill with a fresh context window. Pass decisions only through specs/state.yaml handoff — never rely on prior chat history.

Confirm with the user: step count, skip/reorder, stop-after step.

2. Execute step by step

For each task in the active story:

a. Announce — task desc and verify command.

b. Execute — code or delegate-task / dispatch-agents for waves.

c. Run verify — must be green before advancing.

d. Log — non-obvious decisions in specs/state.yaml under decisions[] or handoff block.

e. Checkpoint — ask to proceed unless autonomous mode requested.

f. Story UAT — after last task, run manual verification script from story notes or verify-work.

On verify failure: fix and re-run; never advance on red.

Update specs/execution-status.yaml when a story/epic completes (bash scripts/sync-status-from-epics.sh or direct edit).

3. Blockers

Report blocker; ask skip/adapt/stop; update epic capsule if plan changes.

4. Final report

Suggest: verify-workrun-evalsaudit-codesimulate-agentscommit-messagerelease-branch

Rules

  • Loop until behavioral correctness is verified: if a verify command passes but the observed behavior is still wrong, return to step 1 and run the execution cycle again.

Read the full file on GitHub · 62 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 · 62 lines · 37 tokens per session scan A 553ec2a29e58

Subscribe to this mod's changes

execute-plan is a skill published in the GitHub repository danielvm-git/bigpowers (156 stars, last pushed 25d ago), licensed MIT. It adds 37 tokens to every session and 587 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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