GitHub Agentic Workflows is a GitHub CLI extension that lets developers define AI-assisted repository automation in Markdown and run it through GitHub Actions. It is intended for tasks requiring interpretation or reasoning, such as issue triage, pull-request review, CI investigation, documentation maintenance, and dependency analysis. The catalogue entries provide skills and agents for working with these workflows.
Borrowing it
Nothing to install: this file belongs to github/gh-aw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/github/gh-aw/main/.github/skills/console-rendering/SKILL.mdgit clone --depth 1 https://github.com/github/gh-awWrote 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/github/gh-aw/console-rendering)<a href="https://agentmods.dev/skills/github/gh-aw/console-rendering"><img src="https://agentmods.dev/badge/skills/github/gh-aw/console-rendering/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/skills/github/gh-aw/console-rendering"><img src="https://agentmods.dev/badge/skills/github/gh-aw/console-rendering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00017 | $0.00737 |
| Opus 5.5 | $0.00007 | $0.00295 |
| Sonnet 5.5 | $0.00003 | $0.00147 |
| Haiku 4.5 | $0.00002 | $0.00074 |
Grade A, and why
console-rendering 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Console Rendering System Usage
Use this guide for the struct tag-based console rendering system.
Struct Tag Support
Use the console struct tag to control rendering behavior:
header:"Name"- Sets the display name for fields (used in both structs and tables)title:"Section Title"- Sets the title for nested structs, slices, or mapsformat:"type"- Sets the formatting type for the field valueformat:number- Formats integers as human-readable numbers (e.g., "1k", "1.2M")format:cost- Formats floats as currency with $ prefix (e.g., "$1.234")
omitempty- Skips the field if it has a zero value"-"- Always skips the field
Example Usage
type Overview struct {
RunID int64 `console:"header:Run ID"`
Workflow string `console:"header:Workflow"`
Status string `console:"header:Status"`
Duration string `console:"header:Duration,omitempty"`
}
data := Overview{
RunID: 12345,
Workflow: "test-workflow",
Status: "completed",
Duration: "5m30s",
}
// Simple rendering
fmt.Print(console.RenderStruct(data))
// Output:
// Run ID : 12345
// Workflow: test-workflow
// Status : completed
// Duration: 5m30s
Format Tag Examples
Number Formatting
type Metrics struct {
TokenUsage int `console:"header:Token Usage,format:number"`
Errors int `console:"header:Errors"`
}
data := Metrics{
TokenUsage: 250000,
Errors: 5,
}
// Renders as:
// Token Usage: 250k
// Errors : 5
Cost Formatting
type Billing struct {
Cost float64 `console:"header:Estimated Cost,format:cost"`
}
data := Billing{
Cost: 1.234,
}
// Renders as:
// Estimated Cost: $1.234
Rendering Behavior
Structs
Structs are rendered as key-value pairs with proper alignment.
Slices
Slices of structs are automatically rendered as tables:
type Job struct {
Name string `console:"header:Name"`
Status string `console:"header:Status"`
Conclusion string `console:"header:Conclusion,omitempty"`
}
jobs := []Job{
{Name: "build", Status: "completed", Conclusion: "success"},
{Name: "test", Status: "in_progress", Conclusion: ""},
}
fmt.Print(console.RenderStruct(jobs))
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 · 126 lines · 17 tokens per session scan A b36dddbf3b55
console-rendering is a skill published in the GitHub repository github/gh-aw (5,406 stars, last pushed today), licensed MIT. It adds 17 tokens to every session and 737 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
c-github
Interact with GitHub using the gh CLI and jq. Manage PRs, issues, repositories, and Actions workflows. Make raw API calls with gh api for anything not covered by built-in commands.
watch-pr
Watch a GitHub pull request for CI status, reviews, comments, merge conflicts, and terminal states using the gh-watch extension. Use when the user wants to monitor a PR, wait for CI, or track PR progress.
watch-tag
Watch a GitHub repository for new tags using the gh-watch extension. Use when the user wants to be notified when a tag is created, when a release is cut, or when a tag that includes a specific commit appears (e.g. "tell me when my merge ships in a release").
watch-branch
Watch a GitHub branch for new commits using the gh-watch extension. Use when the user wants to be notified when new commits are pushed to a branch, monitor main for merges, or track branch activity.
watch-commit
Watch a GitHub commit for CI status changes using the gh-watch extension. Use when the user wants to monitor a commit's CI checks, wait for a build to finish, or track CI progress on a specific SHA.
update-architecture-docs
Generate or update the architecture documentation in docs/content/architecture/. Use on "update architecture docs", "generate architecture documentation", "regenerate architecture docs", or after any structural change to the codebase.