cto-fix-deploy-verify-loop

cto-fix-deploy-verify-loop is a skill for Claude Code from melaya-labs/melaya-mcp. It costs 0 tokens per session (1,179 once invoked), scanned A, original, Apache-2.0.

A complete process for handling a production error: measure it, find its cause, make and test a fix, review and deploy it, then check monitoring to confirm the error stopped.

In plain words
What is it for?
It helps handle monitoring alerts, noisy services, failing tools, customer-impacting errors, and post-release problems.
Why use it?
It prevents a fix from being treated as finished before the change is deployed and its result is verified in production.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the melaya plugin — 131 skills, 3 commands, 1 MCP server shipped together

Good fit It helps handle monitoring alerts, noisy services, failing tools, customer-impacting errors, and post-release problems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/melaya-labs/melaya-mcp/cto-fix-deploy-verify-loop
Install

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.

Any agent
npx skills add melaya-labs/melaya-mcp --skill cto-fix-deploy-verify-loop
Clone the repo
git clone --depth 1 https://github.com/melaya-labs/melaya-mcp

Made for: Claude Code.

Or install melaya, the plugin that ships this one along with the rest of its 131 skills, 3 commands, 1 MCP server.

Wrote 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.

agentmods badge for cto-fix-deploy-verify-loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/melaya-labs/melaya-mcp/cto-fix-deploy-verify-loop/github.svg)](https://agentmods.dev/skills/melaya-labs/melaya-mcp/cto-fix-deploy-verify-loop)
Your own site
<a href="https://agentmods.dev/skills/melaya-labs/melaya-mcp/cto-fix-deploy-verify-loop"><img src="https://agentmods.dev/badge/skills/melaya-labs/melaya-mcp/cto-fix-deploy-verify-loop/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.

agentmods 80×15 button for cto-fix-deploy-verify-loop

Your own site · 80×15
<a href="https://agentmods.dev/skills/melaya-labs/melaya-mcp/cto-fix-deploy-verify-loop"><img src="https://agentmods.dev/badge/skills/melaya-labs/melaya-mcp/cto-fix-deploy-verify-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,179 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.01179
Opus 5.5 $0.00000 $0.00472
Sonnet 5.5 $0.00000 $0.00236
Haiku 4.5 $0.00000 $0.00118

Measured 2d ago against content hash da508de5bdb5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cto-fix-deploy-verify-loop 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 2d 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.

skills/excom-role-skills/cto/cto-fix-deploy-verify-loop/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Monitor, fix, deploy, verify loop

Keep the loop whole so no fix is called done until the error count says so. Each step has its own skill; this one sequences them.

Look up first

  • Your charter objectives in context (for example a post-deploy check window) and excom_recall for past loops on this error.
  • Monitoring and CI access: grafana_* and jenkins_* (or your equivalents). Missing app: excom_request_setup. Coding grant off: ask the owner with excom_send_handoff (kind question). Never fake a step.
  • The deploy runbook and the team's known-issues note: excom_knowledge_search "deploy runbook", "known issues". If the deploy runbook is missing, stop before deploying and ask the owner with excom_propose_task (needs decision true).

Steps

  1. Orient: read the alert payload, then excom_read_tasks for an open task on the same error.
  2. Monitor: grafana_errors_summary for the window, and the tool-call failure telemetry when the team has it (failure rate per surface, per connector and per tool, top failing tools, degraded runs). Pick one error or one failing tool, the one with the most customer impact, not the loudest.
  3. Evidence: grafana_error_context on that message. For a failing tool, read its failed calls: the tool, its error class and its code location (the source file and line its telemetry names, or the team's tool-to-module map), and start reading the code there. Find the root cause with skill cto-incident-root-cause. No root cause hypothesis, no loop.
  4. Task: excom_propose_task carrying the evidence (service, errors, logs, query, first seen, last seen, count, source).
  5. Fix: excom_code_task with repository, one-line goal, governing runbook and evidence, including the failing file for a tool (record write, asks under Prepare). The session reproduces with a test and reports evidence addressed and the covering test. Commit messages follow the repository's own convention: read the recent history first. Follow skill cto-coding-session-hygiene.
  6. Review and push: skill cto-push-review-gate; excom_code_push branch (send), then base (production, always asks).
  7. Deploy: skill cto-jenkins-safe-deploy, only the jobs the diff needs, in the runbook's order, one job at a time: start one, jenkins_wait_build until it finishes, and start the next only when it is green. On red, read jenkins_build_console and stop.
  8. Mark: grafana_create_annotation with commit and build (record write).
  9. Verify: grafana_errors_summary with a window that starts after the build finished and ends now. The fixed message must not appear after the deploy; for a tool, its failure rate after the deploy must be below the rate before it. Allow at least 30 minutes of normal traffic, or the alert's usual recurrence interval, before calling it stopped.
  10. If it persists or a new error appeared, say so on the task, gather new evidence, start a new session. Never mark done on a deploy alone.
  11. Close: excom_record_measurement (count before and after, windows), excom_update_task with receipts, and a known-issues entry drafted with excom_save_draft when the cause is reusable.

Read the full file on GitHub · 56 lines

Changes

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.

  1. 2d ago First seen · 56 lines · 0 tokens per session scan A da508de5bdb5

Subscribe to this mod's changes

cto-fix-deploy-verify-loop is a skill published in the GitHub repository melaya-labs/melaya-mcp (1 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,179 tokens. 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 2026-11-12.

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