graph-deploy

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更新时间2026年7月24日 00:01

Execute the DEPLOY phase via the `agf` CLI — release, DORA metrics, provider choice, cost proof; strictest gate (harness ≥ 70). Zero MCP

安装

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来源

DiegoNogueiraDev

DiegoNogueiraDev/agf

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graph-deploy

Release, DORA, provider choice, cost proof. Drive via the agf CLI — zero MCP. Load context with agf context <id> before changing anything.

When to Use

HANDOFF approved
Preparing a release (strictest gate: harness ≥ 70)

Mandatory Flow

agf gate deploy → agf forecast → agf metrics --simulate

Steps (DEPLOY phase)

Command	Does
`agf provider use <id>`	choose provider (openrouter/copilot/ollama)
`agf deliver "<request>" --live`	autonomous end-to-end delivery
`agf forecast`	DORA (deploy freq, lead time, CFR, MTTR)
`agf metrics --simulate`	re-price real bill under all models (cost proof)
`agf gate deploy`	DEPLOY gate (release_check + harness ≥ 70)

Workflow

Gate — agf gate deploy (release_check + harness ≥ 70)
DORA — agf forecast
Cost proof — agf metrics --simulate
Provider — agf provider use <id> (if switching for release)
Deploy — run the project deploy pipeline
Post-deploy — verify health checks, logs, metrics
Baseline — agf snapshot create (post-deploy state)
Transition — agf phase LISTENING

Exit

Release validated
Harness ≥ 70 (B)
DORA baseline saved
Cost simulation reviewed

Output Format

Phase: DEPLOY → LISTENING
Release: validated  Harness: X (≥70)
DORA: deploy Y/day, lead P85 Zh, CFR W%, MTTR Vh
Cost: re-priced under N models
Snapshot: pre + post
Status: deployed, monitoring in LISTENING

Loop link → LISTENING (graph-listening): agf learning stats. Spiral: agf savings → agf learning → next.

Anti-Patterns

Don't deploy with harness < 70 — strictest release gate
Don't ignore cost — use --simulate for proof
Don't deploy without a pre-deploy snapshot (rollback)
Don't skip post-deploy validation

Related Skills

$graph-handoff — agf skill show graph-handoff
$graph-listening — agf skill show graph-listening

Codex Notes

In Codex Plan Mode, plan only — don't mutate files.
During implementation, follow AGENTS.md and use apply_patch for manual edits.

Token Economy

Economia de tokens. Os levers compartilhados por todas as skills — --select, agf retrieve-command, agf exec chain, reuso antes de criação — vivem em _shared.md → Token Economy. Fonte única: um parágrafo repetido em trinta arquivos é o trigésimo primeiro que envelhece sozinho.

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name	graph-deploy
description	Execute the DEPLOY phase via the `agf` CLI — release, DORA metrics, provider choice, cost proof; strictest gate (harness ≥ 70). Zero MCP
triggers	["graph-deploy"]
version	2.0.0
author	auto-generated
date	"2026-06-16T00:00:00.000Z"
category	DEPLOY
phase	DEPLOY
tokens	~623
phases	["HANDOFF","LISTENING"]

graph-deploy

Release, DORA, provider choice, cost proof. Drive via the agf CLI — zero MCP. Load context with agf context <id> before changing anything.

When to Use

HANDOFF approved
Preparing a release (strictest gate: harness ≥ 70)

Mandatory Flow

agf gate deploy → agf forecast → agf metrics --simulate

Steps (DEPLOY phase)

Command	Does
`agf provider use <id>`	choose provider (openrouter/copilot/ollama)
`agf deliver "<request>" --live`	autonomous end-to-end delivery
`agf forecast`	DORA (deploy freq, lead time, CFR, MTTR)
`agf metrics --simulate`	re-price real bill under all models (cost proof)
`agf gate deploy`	DEPLOY gate (release_check + harness ≥ 70)

Workflow

Gate — agf gate deploy (release_check + harness ≥ 70)
DORA — agf forecast
Cost proof — agf metrics --simulate
Provider — agf provider use <id> (if switching for release)
Deploy — run the project deploy pipeline
Post-deploy — verify health checks, logs, metrics
Baseline — agf snapshot create (post-deploy state)
Transition — agf phase LISTENING

Exit

Release validated
Harness ≥ 70 (B)
DORA baseline saved
Cost simulation reviewed

Output Format

Phase: DEPLOY → LISTENING
Release: validated  Harness: X (≥70)
DORA: deploy Y/day, lead P85 Zh, CFR W%, MTTR Vh
Cost: re-priced under N models
Snapshot: pre + post
Status: deployed, monitoring in LISTENING

Loop link → LISTENING (graph-listening): agf learning stats. Spiral: agf savings → agf learning → next.

Anti-Patterns

Don't deploy with harness < 70 — strictest release gate
Don't ignore cost — use --simulate for proof
Don't deploy without a pre-deploy snapshot (rollback)
Don't skip post-deploy validation

Related Skills

$graph-handoff — agf skill show graph-handoff
$graph-listening — agf skill show graph-listening

Codex Notes

In Codex Plan Mode, plan only — don't mutate files.
During implementation, follow AGENTS.md and use apply_patch for manual edits.

Token Economy

Economia de tokens. Os levers compartilhados por todas as skills — --select, agf retrieve-command, agf exec chain, reuso antes de criação — vivem em _shared.md → Token Economy. Fonte única: um parágrafo repetido em trinta arquivos é o trigésimo primeiro que envelhece sozinho.