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 makigjuro/cloudstack-ai-plugins --skill start-workgit clone --depth 1 https://github.com/makigjuro/cloudstack-ai-pluginsWrote 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/makigjuro/cloudstack-ai-plugins/start-work)<a href="https://agentmods.dev/skills/makigjuro/cloudstack-ai-plugins/start-work"><img src="https://agentmods.dev/badge/skills/makigjuro/cloudstack-ai-plugins/start-work/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/makigjuro/cloudstack-ai-plugins/start-work"><img src="https://agentmods.dev/badge/skills/makigjuro/cloudstack-ai-plugins/start-work.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 | $0.00041 | $0.00921 |
| Opus 5.5 | $0.00016 | $0.00368 |
| Sonnet 5.5 | $0.00008 | $0.00184 |
| Haiku 4.5 | $0.00004 | $0.00092 |
Grade A, and why
start-work 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 1mo 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Start Work
Create a feature branch from a GitHub issue and prepare the working context.
Configuration
Read cloudstack.json from the project root at the start of execution. Extract relevant fields:
REPO_OWNER/REPO_NAME=repository.owner/repository.name(default: detect fromgit remote -v)
If cloudstack.json does not exist, auto-detect by parsing the GitHub remote URL:
git remote get-url origin | sed -E 's|.*github\.com[:/]([^/]+)/([^/.]+).*|\1 \2|'
Arguments
{issue}-- GitHub issue number (required). Pass as argument:/start-work 42
Process
- Fetch issue details -- Read the issue title and body to understand the scope.
- Ensure clean working tree -- Check
git statusfor uncommitted changes. Warn the user if the tree is dirty. - Pull latest main -- Ensure the branch starts from the latest main.
- Create and checkout branch -- Use the naming convention below.
- Report -- Show the branch name and a summary of the issue tasks.
Branch Naming Convention
{username}/{issue-number}-{short-slug}
Derive {username} from the git config user.name (lowercase, no spaces). Derive {short-slug} from the issue title (lowercase, hyphens, max 50 chars, no special characters).
Examples:
jdoe/42-user-group-assignmentsjdoe/15-order-versioning-api
Commands
Fetch the issue using MCP for structured data:
mcp__github-mcp-server__get_issue(owner: "{REPO_OWNER}", repo: "{REPO_NAME}", issue_number: {issue})
This returns structured JSON with title, body, labels, and state -- no CLI parsing needed.
# Check working tree
git status --short
# Update main and create branch
git fetch origin main
git checkout -b {branch-name} origin/main
After Starting -- Automatic Implementation
Once the branch is created, do not stop. Immediately continue with implementation:
- Analyze the issue -- Parse acceptance criteria, identify affected services, and determine which layers need changes (Domain, Application, Infrastructure, Endpoints, Frontend, Tests).
- Create a task list -- Use TodoWrite to track each implementation step derived from the issue.
- Implement -- Follow the layer order: Domain -> Application -> Infrastructure -> Endpoints -> Frontend -> Tests. Use the appropriate scaffolding skills (
/add-entity,/add-command,/add-query,/add-event-handler,/add-migration,/add-feature) where they apply. Commit logically after each meaningful change. - Verify as you go -- Run tests and architecture checks between steps. Fix issues before moving on.
- When done -- Run
/complete-taskto go through the full completion workflow (build, lint, tests, review, PR).
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.
- 1mo ago First seen · 102 lines · 41 tokens per session scan A b41b2701c65a
start-work is a skill published in the GitHub repository makigjuro/cloudstack-ai-plugins (1 stars, last pushed 3mo ago), licensed MIT. It adds 41 tokens to every session and 921 once invoked, about $0.0002 per session on Opus 5.5. 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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