Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirrornpx agentmods add skills/gabrielmoreira/agent-skills-mirror/relay-80-100-workflowWrote 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/gabrielmoreira/agent-skills-mirror/relay-80-100-workflow)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/relay-80-100-workflow"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/relay-80-100-workflow/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/gabrielmoreira/agent-skills-mirror/relay-80-100-workflow"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/relay-80-100-workflow.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 | $0.00121 | $0.05236 |
| Opus 5 | $0.00060 | $0.02618 |
| Sonnet 5 | $0.00024 | $0.01047 |
| Haiku 4.5 | $0.00012 | $0.00524 |
Grade A, and why
relay-80-100-workflow 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 9d 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.
This is a copy
100% identical to relay-80-100-workflow — 0 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 — 510 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Most agent workflows get features to ~80%: code written, types check, maybe a build passes. This skill covers the 80-to-100 gap — making workflows that fully validate features end-to-end before committing. The goal: every feature merged via these workflows is tested, verified, and known-working, not just "it compiles."
When to Use
- Writing workflows where the deliverable must be production-ready, not just code-complete
- Features that touch databases, APIs, or infrastructure that can be tested locally
- Any workflow where "it compiles" is not sufficient proof of correctness
- When you want confidence that the commit actually works before deploying
Core Principle: Test In The Workflow
The key insight: run tests as deterministic steps inside the workflow itself. Don't just write test files — execute them, verify they pass, fix failures, and re-run. The workflow doesn't commit until tests are green.
implement → write tests → run tests → fix failures → re-run → build check → regression check → commit
Repair Before Failure
An 80-to-100 workflow should not stop merely because a test, typecheck, lint, schema, or E2E gate turns red. That red output is work for the agent team. Capture it, hand it to a repair owner, fix it, and rerun. Workflow-owned validation gates should never terminate the run with FAILED. If the team exhausts its repair budget or hits an external blocker such as missing credentials, wrong repository, or unsafe dirty worktree, write a BLOCKED_NO_COMMIT artifact and end without committing or opening a PR instead of crashing the workflow.
Use this shape for every meaningful gate:
run-*: deterministic command withcaptureOutput: trueandfailOnError: false.fix-*: agent step that reads{{steps.run-*.output}}, fixes source/tests/config, and reruns the command locally until green.verify-*: deterministic rerun, usually stillfailOnError: false, followed by a final repair step if red.commit-if-green: deterministic step that reruns the full acceptance command and commits only when every exit code is zero. If anything is still red, it writesBLOCKED_NO_COMMITwith the failing evidence and exits successfully so the workflow reports a handled blocked state, not a runtime failure.
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.
- 9d ago First seen · 510 lines · 121 tokens per session scan A 582d72f66ac0
relay-80-100-workflow is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It adds 121 tokens to every session and 5,236 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to relay-80-100-workflow, differing in 0 lines, and is treated as a copy.
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