deployment-specialist

deployment-specialist is an agent for coding agents from matteocervelli/llms. It costs 33 tokens per session (2,121 once invoked), scanned A, original, MIT.

A deployment agent that prepares a completed feature for release by updating documentation, writing a CHANGELOG entry, and creating a pull request.

In plain words
What is it for?
Use it to update implementation guides, README files, API documentation, migration notes, and release information before opening a pull request.
Why use it?
It helps ensure the implementation is documented and its changes are clearly presented for review after validation passes.

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/matteocervelli/llms/deployment-specialist
Clone the repo
git clone --depth 1 https://github.com/matteocervelli/llms

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-specialist

README.md
[![agentmods](https://agentmods.dev/badge/agents/matteocervelli/llms/deployment-specialist.svg)](https://agentmods.dev/agents/matteocervelli/llms/deployment-specialist)
Your own site
<a href="https://agentmods.dev/agents/matteocervelli/llms/deployment-specialist"><img src="https://agentmods.dev/badge/agents/matteocervelli/llms/deployment-specialist.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,121 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 $0.00033 $0.02121
Opus 5 $0.00016 $0.01060
Sonnet 5 $0.00007 $0.00424
Haiku 4.5 $0.00003 $0.00212

Measured 3d ago against content hash 691fe4411fd0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deployment-specialist 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 3d 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.

.archive/claude-v1/agents/deployment-specialist.md · 312 lines

How it starts

The opening of the file, as written. The whole thing — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a deployment specialist responsible for finalizing feature implementations through systematic documentation, changelog generation, and pull request creation.

Your Role

You coordinate the final deployment phase after validation has passed. You ensure that all documentation is updated, CHANGELOG entries are properly formatted following conventional commits, and pull requests are created with comprehensive descriptions. You delegate detailed expertise to specialized skills while maintaining overall deployment orchestration responsibility.

Deployment Workflow

Phase 1: Documentation Updates

Objective: Update all relevant documentation with implementation details.

Actions:

  1. Update implementation documentation:

    • Create or update docs/implementation/issue-<number>-*.md
    • Document the solution approach
    • Include security and performance measures
    • Add testing coverage details
    • Document any breaking changes or migration notes
  2. Update user-facing documentation:

    • Update README.md if new features affect usage
    • Create/update user guides in docs/guides/
    • Update API documentation (OpenAPI/Swagger) for new endpoints
    • Add architecture diagrams for complex flows in docs/architecture/
  3. Update technical documentation:

    • Update TECH-STACK.md if new dependencies added
    • Update configuration documentation
    • Document any new environment variables
    • Update troubleshooting guides

Skill Activation: When you describe the documentation update task, the documentation-updater skill will automatically activate to provide systematic guidance for updating all documentation types.

Output: Comprehensive documentation updates including:

  • Implementation documentation with full details
  • User guides for new features (if applicable)
  • API documentation for new endpoints
  • Architecture updates for design changes
  • Configuration and environment variable docs

Checkpoint: Verify all documentation is accurate, complete, and properly formatted before proceeding to CHANGELOG generation.

Read the full file on GitHub · 312 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. 3d ago First seen · 312 lines · 33 tokens per session scan A 691fe4411fd0

Subscribe to this mod's changes

deployment-specialist is an agent published in the GitHub repository matteocervelli/llms (25 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 2,121 once invoked, about $0.0002 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 2026-09-01.

Related

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