Borrowing it
Nothing to install: this file belongs to BillDuke13/code-explainer-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/BillDuke13/code-explainer-mcp/main/.claude/skills/deploy/SKILL.mdgit clone --depth 1 https://github.com/BillDuke13/code-explainer-mcpWrote 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/billduke13/code-explainer-mcp/deploy)<a href="https://agentmods.dev/skills/billduke13/code-explainer-mcp/deploy"><img src="https://agentmods.dev/badge/skills/billduke13/code-explainer-mcp/deploy/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/billduke13/code-explainer-mcp/deploy"><img src="https://agentmods.dev/badge/skills/billduke13/code-explainer-mcp/deploy.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 | $0.00039 | $0.00337 |
| Opus 5.5 | $0.00016 | $0.00135 |
| Sonnet 5.5 | $0.00008 | $0.00067 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
deploy 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 2mo 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.
What it actually says
Deploy to Cloudflare Workers
Deploying mutates production. Run the pre-flight checks, get explicit confirmation, then deploy.
Pre-flight
-
Secret is set as a real secret, not the placeholder. Check that
SHARED_SECRETexists in the secret store:wrangler secret listIf
SHARED_SECRETis missing, stop and tell the user to runwrangler secret put SHARED_SECRETfirst. -
No real secret is committed. Confirm
wrangler.jsoncstill hasvars.SHARED_SECRETset to"YOUR_SECRET_KEY_HERE". If it holds a real value, warn the user (it would commit a secret and override the secret store) before continuing. -
Working tree is clean enough to deploy — surface anything uncommitted that would ship unexpectedly (
git status --short).
Deploy
-
Confirm with the user that they want to deploy to production. Wait for an explicit yes.
-
Run the pipeline:
npm run deploy(=
workers-mcp docgen src/index.ts && wrangler deploy) -
Report the deployed
*.workers.devURL (or custom route) from the wrangler output. Offer to smoke-test it with/smokepointed at the deployed URL.
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.
- 2mo ago First seen · 38 lines · 39 tokens per session scan A 71e91b1b9951
deploy is a skill published in the GitHub repository BillDuke13/code-explainer-mcp (8 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 39 tokens to every session and 337 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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