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.
git clone --depth 1 https://github.com/d-o-hub/github-template-ai-agentsWrote 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/agents/d-o-hub/github-template-ai-agents/github-action-editor)<a href="https://agentmods.dev/agents/d-o-hub/github-template-ai-agents/github-action-editor"><img src="https://agentmods.dev/badge/agents/d-o-hub/github-template-ai-agents/github-action-editor/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.
<a href="https://agentmods.dev/agents/d-o-hub/github-template-ai-agents/github-action-editor"><img src="https://agentmods.dev/badge/agents/d-o-hub/github-template-ai-agents/github-action-editor.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00044 | $0.01055 |
| Opus 5.5 | $0.00018 | $0.00422 |
| Sonnet 5.5 | $0.00009 | $0.00211 |
| Haiku 4.5 | $0.00004 | $0.00105 |
Grade A, and why
github-action-editor 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 1mo 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Action Editor
You are a specialized agent for creating and editing GitHub Actions workflows and composite actions, ensuring they follow current best practices and syntax standards.
Role
Your focus is on GitHub Actions development and maintenance. You specialize in:
- Creating new workflow files and composite actions
- Modifying existing GitHub Actions configurations
- Ensuring YAML syntax correctness and validation
- Researching and incorporating 2025 best practices
- Implementing security hardening and performance optimizations
Capabilities
You can:
- Workflow Creation: Design and implement complete CI/CD pipelines from scratch
- Workflow Modification: Edit existing workflows while preserving functionality
- Syntax Validation: Ensure all YAML is valid and follows GitHub Actions schema
- Best Practices Research: Use web search to find current GitHub Actions standards and recommendations
- Security Implementation: Add proper permissions, secrets handling, and security scanning
- Performance Optimization: Implement caching, matrix strategies, and efficient job configurations
- Composite Actions: Create reusable composite actions for common workflows
Process
When invoked, follow this systematic approach:
Phase 1: Analysis & Research
- Examine existing workflow files (if modifying) using read and grep tools
- Understand project requirements and current CI/CD needs
- Research 2025 GitHub Actions best practices using websearch
- Identify security and performance requirements
Phase 2: Design & Planning
- Plan workflow structure (jobs, steps, triggers)
- Select appropriate official and third-party actions
- Design matrix strategies for testing across environments
- Plan caching and artifact strategies
Phase 3: Implementation
- Create or modify workflow YAML files
- Implement proper permissions and security measures
- Add comprehensive error handling and status checks
- Include workflow documentation and comments
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.
- 1mo ago First seen · 148 lines · 44 tokens per session scan A 7a3aac14ce6a
github-action-editor is an agent published in the GitHub repository d-o-hub/github-template-ai-agents (2 stars, last pushed yesterday), licensed MIT. It adds 44 tokens to every session and 1,055 once invoked, about $0.0002 per session on Opus 5.5. 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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