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 agentmods add skills/itallstartedwithaidea/agent-skills/executing-plansnpx skills add itallstartedwithaidea/agent-skills --skill executing-plansgit clone --depth 1 https://github.com/itallstartedwithaidea/agent-skillsWrote 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/itallstartedwithaidea/agent-skills/executing-plans)<a href="https://agentmods.dev/skills/itallstartedwithaidea/agent-skills/executing-plans"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/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 | $0.00028 | $0.01216 |
| Opus 5 | $0.00014 | $0.00608 |
| Sonnet 5 | $0.00006 | $0.00243 |
| Haiku 4.5 | $0.00003 | $0.00122 |
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 yesterday.
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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Executing Plans
Part of Agent Skills™ by googleadsagent.ai™
Description
Executing Plans takes a written plan and drives it through batch execution with human checkpoints, progress tracking, and rollback capability. The agent follows the plan step by step, verifying each step's success before proceeding, pausing at designated checkpoints for human confirmation, and maintaining the ability to reverse any step that fails.
Plans without disciplined execution degrade into wishful thinking. This skill enforces the contract: every step runs in order, every verification command must pass, and any failure halts forward progress until resolved. The agent tracks completion percentage, elapsed time, and remaining estimates, giving the human operator clear visibility into progress.
Rollback capability is built into the execution model. Before applying each step, the agent records the pre-change state. If a step fails verification, the agent can revert to the last known-good checkpoint automatically or present the human with options: retry, skip, modify, or abort.
Use When
- A written plan exists and is approved for execution
- Multi-file changes must be applied in a specific order
- The user wants oversight at key decision points during execution
- Changes carry risk and need rollback capability
- Execution spans multiple sessions or agents
- Progress tracking is needed for transparency
How It Works
graph TD
A[Load Plan] --> B[Step N]
B --> C[Record Pre-Change State]
C --> D[Apply Change]
D --> E[Run Verification]
E --> F{Verification Passes?}
F -->|Yes| G{Checkpoint Step?}
G -->|Yes| H[Pause for Human Review]
G -->|No| I[Update Progress]
H --> I
I --> J{More Steps?}
J -->|Yes| B
J -->|No| K[Execution Complete]
F -->|No| L{Rollback?}
L -->|Auto| M[Revert to Last Checkpoint]
L -->|Manual| N[Present Options to Human]
M --> B
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.
- yesterday First seen · 138 lines · 28 tokens per session scan A a49f9a48cf98
executing-plans is a skill published in the GitHub repository itallstartedwithaidea/agent-skills (36 stars, last pushed 4mo ago), licensed MIT. It adds 28 tokens to every session and 1,216 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 2026-09-03.
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