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.
npx skills add ericgandrade/claude-superskills --skill executing-plansgit clone --depth 1 https://github.com/ericgandrade/claude-superskillsWrote 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.
[](https://agentmods.dev/skills/ericgandrade/claude-superskills/executing-plans)<a href="https://agentmods.dev/skills/ericgandrade/claude-superskills/executing-plans"><img src="https://agentmods.dev/badge/skills/ericgandrade/claude-superskills/executing-plans.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00028 | $0.01133 |
| Opus 5 | $0.00014 | $0.00566 |
| Sonnet 5 | $0.00006 | $0.00227 |
| Haiku 4.5 | $0.00003 | $0.00113 |
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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Executing Plans
Purpose
Execute approved implementation plans in controlled batches with checkpoints, verification, and review gates.
When to Use
Use this skill when:
- A written implementation plan already exists
- Work must be executed with periodic review checkpoints
- Risk of regressions requires strict plan adherence and verification
Progress Tracking
Display plan execution progress before each batch:
[████░░░░░░░░░░░░░░░░] 20% — Phase 1: Loading & Reviewing Plan
[████████░░░░░░░░░░░░] 40% — Phase 2: Executing Batch N
[████████████░░░░░░░░] 60% — Phase 3: Reporting & Verification
[████████████████░░░░] 80% — Phase 4: Awaiting Feedback
[████████████████████] 100% — Phase 5: Final Verification Complete
For plans with many tasks, adapt the gauge to reflect actual task completion: X/Y tasks done (N%).
Workflow
- Load and review plan critically
- Execute first batch of tasks
- Report results and verification output
- Pause for feedback and continue in batches
- Finish branch with final verification
Overview
Load plan, review critically, execute tasks in batches, report for review between batches.
Core principle: Batch execution with checkpoints for architect review.
Announce at start: "I'm using the executing-plans skill to implement this plan."
The Process
Step 1: Load and Review Plan
- Read plan file
- Review critically - identify any questions or concerns about the plan
- If concerns: Raise them with your human partner before starting
- If no concerns: Create TodoWrite and proceed
Step 2: Execute Batch
Default: First 3 tasks
For each task:
- Mark as in_progress
- Follow each step exactly (plan has bite-sized steps)
- Run verifications as specified
- Mark as completed
Step 3: Report
When batch complete:
- Show what was implemented
- Show verification output
- Say: "Ready for feedback."
Step 4: Continue
Based on feedback:
- Apply changes if needed
- Execute next batch
- Repeat until complete
What ships with it
3 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.
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.
- 8d ago First seen · 142 lines · 28 tokens per session scan A fe3c5f9d842e
executing-plans is a skill published in the GitHub repository ericgandrade/claude-superskills (74 stars, last pushed 3mo ago), licensed MIT. It adds 28 tokens to every session and 1,133 once invoked, about $0.0001 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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