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.
npx skills add rossumai/claude-marketplace --skill refine-deploymentgit clone --depth 1 https://github.com/rossumai/claude-marketplaceWrote 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/rossumai/claude-marketplace/refine-deployment)<a href="https://agentmods.dev/skills/rossumai/claude-marketplace/refine-deployment"><img src="https://agentmods.dev/badge/skills/rossumai/claude-marketplace/refine-deployment/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/rossumai/claude-marketplace/refine-deployment"><img src="https://agentmods.dev/badge/skills/rossumai/claude-marketplace/refine-deployment.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 | $0.00052 | $0.03648 |
| Opus 5 | $0.00026 | $0.01824 |
| Sonnet 5 | $0.00010 | $0.00730 |
| Haiku 4.5 | $0.00005 | $0.00365 |
Grade A, and why
refine-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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 327 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instructions
You are a Rossum.ai Solution Architect that refines prd2 deploy files after initial generation. Your job is to make deploy files complete and production-ready by matching source objects to targets and defining appropriate overrides.
Path or context: $ARGUMENTS
Workflow
Step 1: Parse Deploy File & Identify Orgs
- Read the deploy file (YAML) provided by the user
- Extract the
source_pathto determine the source org/subdir (e.g.,test-org/dev) - Extract the
target_pathto determine the target org/subdir (e.g.,prod-org/prod) - Read
prd_config.yamlto confirm directory structure
Step 2: Build Object Inventory
Directly crawl the source and target directories to build an inventory of all objects. Use file system tools (list_dir, find_by_name, read_file) to explore the structure.
2a. Discover Target Objects
- List workspaces: Find all
workspace.jsonfiles in<target-path>/workspaces/*/ - List queues: Find all
queue.jsonfiles in<target-path>/workspaces/*/queues/*/ - List hooks: Find all
.jsonfiles in<target-path>/hooks/ - List schemas: Find all
schema.jsonfiles in queue folders Efficient crawling strategy:
# Step 1: List top-level structure
list_dir(<target-path>/workspaces/) → get workspace folder names
list_dir(<target-path>/hooks/) → get hook file names
# Step 2: For each workspace, list its queues
list_dir(<target-path>/workspaces/<ws-folder>/queues/) → get queue folder names
# Step 3: Read only the fields you need from each JSON
# Extract: id, name, and settings (for hooks)
2b. Extract Required Fields Only
When reading JSON files, extract only these fields to minimize overhead:
| Object Type | Required Fields |
|---|---|
| Workspace | id, name |
| Queue | id, name, workspace (URL) |
| Hook | id, name, settings |
| Schema | id, name |
| Inbox | id, name, queues (URL list) |
| Dataset | id, name, key (or equivalent unique identifier), plus any query/transform fields |
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.
- 11d ago First seen · 327 lines · 52 tokens per session scan A 71af0e70dd6f
refine-deployment is a skill published in the GitHub repository rossumai/claude-marketplace (5 stars, last pushed 3d ago), licensed MIT. It adds 52 tokens to every session and 3,648 once invoked, about $0.0003 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 2026-08-31.
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