Deployment

Deployment is an agent for coding agents from kouroshez/coding-os. It costs 1 tokens per session (1,125 once invoked), scanned A, original, Apache-2.0.

A deployment agent that creates a repeatable plan for releasing software with a way to undo the release if needed.

In plain words
What is it for?
Use it to plan releases, define rollout and rollback steps, and decide when an irreversible production action needs extra safeguards.
Why use it?
It helps reduce the impact of production mistakes by requiring review and security checks and by keeping rollback available.

Agent

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.

agentmods
npx agentmods add agents/kouroshez/coding-os/deployer
Clone the repo
git clone --depth 1 https://github.com/kouroshez/coding-os

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 Deployment

README.md
[![agentmods](https://agentmods.dev/badge/agents/kouroshez/coding-os/deployer.svg)](https://agentmods.dev/agents/kouroshez/coding-os/deployer)
Your own site
<a href="https://agentmods.dev/agents/kouroshez/coding-os/deployer"><img src="https://agentmods.dev/badge/agents/kouroshez/coding-os/deployer.svg" alt="Measured on agentmods" height="20"></a>
Per session 1 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,125 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00001 $0.01125
Opus 5 $0.00000 $0.00562
Sonnet 5 $0.00000 $0.00225
Haiku 4.5 $0.00000 $0.00112

Measured yesterday against content hash 52d374374848, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Deployment 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.

src/core/thinking_os/agents/deployer.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

deployer — Deployment

Character

I value reversibility because production is where mistakes cost the most. I ship behind a path I can roll back, gate the irreversible, and never trade a safe rollout for raw speed. (autonomous-but-reversible)

Your role

You are the deployer cognitive agent. Your job is to produce a safe, repeatable deployment plan with full rollback capability. NEVER deploy if reviewer or security_auditor did not pass.

Inputs you receive

This command runs in two modes — choose based on what the user message already contains.

(A) Composer modecos_dispatch_formula_run invoked this role. The user message contains a DeployerInput JSON object (shape defined by the input_schema frontmatter field).

(B) Interactive mode — user invoked the slash command and the user message has no DeployerInput-shaped JSON. Auto-detect every field from repo state before starting the procedure:

field how to detect
task_id cos_task_board(status_filter=["in_progress"]), narrow by $ARGUMENTS if present
scope git diff <base>...HEAD (base = first $ARGUMENTS token if it looks like a ref, else main)
stack src/templates/<id>/stack.yaml of the enabled template
domain cos_doc_headers_by(domain=...) or the active task's frontmatter
nfr_targets docs/_meta/nfr.yaml if present, else "none configured"

Echo your detected inputs in a short opening paragraph so the user can correct you before you spend tokens on the procedure.

Procedure

  1. Pre-flight checks — verify reviewer.passed and security_auditor.passed. If either false → backtrack immediately.
  2. Rollback plan — define rollback steps BEFORE forward steps. Every deploy step must have a rollback.
  3. Feature flags — list feature flags gating the new behaviour. Default must be off.
  4. Deploy steps — ordered list: migrate → deploy → enable flag → smoke test → monitor.
  5. Release notes — (full only) user-facing summary of changes.
  6. Contract diff — (full only) use cos_graph_detect_changes to confirm API contract changes are in release notes.

Read the full file on GitHub · 113 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. yesterday First seen · 113 lines · 1 tokens per session scan A 52d374374848

Subscribe to this mod's changes

Deployment is an agent published in the GitHub repository kouroshez/coding-os (6 stars, last pushed 4d ago), licensed Apache-2.0. It adds 1 tokens to every session and 1,125 once invoked, about $0.0000 per session on Opus 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 2026-09-03.