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/githubnext/rig/agentic-workflowsnpx skills add githubnext/rig --skill agentic-workflowsgit clone --depth 1 https://github.com/githubnext/rigWhat 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 | $0.00020 | $0.01148 |
| Opus 5 | $0.00010 | $0.00574 |
| Sonnet 5 | $0.00004 | $0.00230 |
| Haiku 4.5 | $0.00002 | $0.00115 |
Grade A, and why
agentic-workflows 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.
This is a copy
97% identical to agentic-workflows — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Workflows Router
Use this skill when a user asks to design, create, update, debug, or upgrade GitHub Agentic Workflows in this repository.
This skill is a dispatcher: identify the task type, load the matching workflow prompt/skill file, and follow it directly. Keep responses concise and ask a clarifying question if the correct prompt is unclear.
Repository overlay (optional):
- If
.github/aw/instructions.mdexists, load it with@.github/aw/instructions.mdafter loading the matched prompt/skill. - Precedence: repository overlay instructions override upstream defaults when they conflict.
Read only the files you need:
Load these files from github/gh-aw (they are not available locally).
.github/aw/action-container-substitutions.md.github/aw/agentic-chat.md.github/aw/agentic-workflows-mcp.md.github/aw/asciicharts.md.github/aw/campaign.md.github/aw/charts-trending.md.github/aw/charts.md.github/aw/cli-commands.md.github/aw/configure-agentic-engine.md.github/aw/context.md.github/aw/create-agentic-workflow-trigger-details.md.github/aw/create-agentic-workflow.md.github/aw/create-shared-agentic-workflow.md.github/aw/debug-agentic-workflow.md.github/aw/dependabot.md.github/aw/deployment-status.md.github/aw/designer.md.github/aw/evals.md.github/aw/experiments.md.github/aw/github-agentic-workflows.md.github/aw/github-mcp-server.md.github/aw/instructions.md.github/aw/linter-workflows.md.github/aw/llms.md.github/aw/loop.md.github/aw/lsp.md.github/aw/mcp-clis.md.github/aw/memory-stateful-patterns.md.github/aw/memory.md.github/aw/messages.md.github/aw/multi-agent-research.md.github/aw/network.md.github/aw/optimize-agentic-workflow.md.github/aw/patterns.md.github/aw/pr-reviewer.md.github/aw/release-workflow.md.github/aw/report.md.github/aw/reuse.md.github/aw/safe-outputs-automation.md.github/aw/safe-outputs-content.md.github/aw/safe-outputs-management.md.github/aw/safe-outputs-runtime.md.github/aw/safe-outputs.md.github/aw/serena-tool.md.github/aw/shared-safe-jobs.md.github/aw/skills.md.github/aw/subagents.md.github/aw/syntax-agentic.md.github/aw/syntax-core.md.github/aw/syntax-tools-imports.md.github/aw/syntax.md.github/aw/test-coverage.md.github/aw/test-expression.md.github/aw/token-optimization.md.github/aw/triggers.md.github/aw/update-agentic-workflow.md.github/aw/upgrade-agentic-workflows.md.github/aw/visual-regression.md.github/aw/workflow-constraints.md.github/aw/workflow-editing.md.github/aw/workflow-patterns.md
After loading the matching workflow prompt or skill, follow it directly:
- Design workflows from scratch via interview:
.github/aw/designer.md - Create new workflows:
.github/aw/create-agentic-workflow.md - Configure or add declarative engines:
.github/aw/configure-agentic-engine.md - Update existing workflows:
.github/aw/update-agentic-workflow.md - Debug, audit, or investigate workflows:
.github/aw/debug-agentic-workflow.md - Upgrade workflows and fix deprecations:
.github/aw/upgrade-agentic-workflows.md - Create shared components or MCP wrappers:
.github/aw/create-shared-agentic-workflow.md - Create report-generating workflows:
.github/aw/report.md - Fix Dependabot manifest PRs:
.github/aw/dependabot.md - Analyze coverage workflows:
.github/aw/test-coverage.md - Render compact markdown charts:
.github/aw/asciicharts.md - Map CLI commands to MCP usage:
.github/aw/cli-commands.md - Choose workflow architecture and patterns:
.github/aw/patterns.md - Optimize token usage and cost:
.github/aw/token-optimization.md - Design long-running multi-agent research workflows:
.github/aw/multi-agent-research.md
When the task involves OTEL, OTLP, traces, observability backends, or telemetry-driven analysis, also read and follow skills/otel-queries/SKILL.md after loading the matching workflow prompt or skill.
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 · 98 lines · 20 tokens per session scan A 543806b388aa
agentic-workflows is a skill published in the GitHub repository githubnext/rig (11 stars, last pushed 2d ago), licensed MIT. It adds 20 tokens to every session and 1,148 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to agentic-workflows, differing in 10 lines, and is treated as a copy.
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