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/operational-value-designer/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/operational-value-designer)<a href="https://agentmods.dev/skills/github/gh-aw/operational-value-designer"><img src="https://agentmods.dev/badge/skills/github/gh-aw/operational-value-designer/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/operational-value-designer"><img src="https://agentmods.dev/badge/skills/github/gh-aw/operational-value-designer.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 | $0.00043 | $0.06727 |
| Opus 5.5 | $0.00017 | $0.02691 |
| Sonnet 5.5 | $0.00009 | $0.01345 |
| Haiku 4.5 | $0.00004 | $0.00673 |
Grade A, and why
operational-value-designer 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 — 477 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Operational Value Designer
Session grading contract
Built-in and JavaScript graders are pure computation over the redacted in-memory unified session. Ten fast built-ins are enabled by default and run in conclusion after session collection. Configure a built-in when it measures the required property; do not substitute activity metrics for operational outcomes.
Custom metrics use graders.<distinct-id>.script: a synchronous JavaScript
body receiving session, config, and helpers. The compiler runs it only
in an isolated downstream graders job. Never inject user steps into
jobs.conclusion or customize jobs.graders. Repository-owned Bash compatibility
instead uses graders.operational-value.run in that same separate job, with the
session-file contract below. Built-in implementation overrides remain unsupported.
JavaScript inputs are immutable snapshots. JavaScript graders cannot read files, invoke processes,
use credentials, fetch evidence, call another model, or use clocks/randomness.
Reuse helpers.createSessionLookups(session) for statistics and lookups.
Return null when required observations are absent; the runtime records
unavailable. Never return the string "unavailable" or invent a zero.
Preserve historical evaluator files and prior results unless explicitly retiring their workflow configuration. Freeze the workflow's intent and its grader acceptance contract together; corrections apply only prospectively.
Design methodology
Design the smallest deterministic grader that measures whether one workflow run produced its intended operational outcome. Put domain knowledge in the evaluator, not in generic runtime infrastructure.
Operational value is demonstrated progress toward the workflow's intended real-world or repository outcome. It is not agent activity, token usage, output volume, tool usage, or an agent's claim that it succeeded.
The core task is semantic translation:
workflow title + description + intent + effective instructions
-> real goal and applicable subject
-> observable evidence
-> deterministic per-run metric function
What ships with it
4 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.
- yesterday Changed · +18 lines f188ff04ef76
- 8d ago Changed · +108 lines · -22 tokens per session d54ecc9ba0d6
- 1mo ago Changed · +201 lines · +5 tokens per session 3a641a04fc80
- 1mo ago Changed · +16 lines 1013d299ea56
- 1mo ago First seen · 134 lines · 60 tokens per session scan A fbcc6e3efa06
operational-value-designer is a skill published in the GitHub repository github/gh-aw (5,492 stars, last pushed today), licensed MIT. It adds 43 tokens to every session and 6,727 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 2026-08-30.
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