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 agentmods add skills/catwillgh/mainframe/mainframe-pi-engineernpx skills add CATWILLgh/MAINFRAME --skill mainframe-pi-engineergit clone --depth 1 https://github.com/CATWILLgh/MAINFRAMEWrote 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/catwillgh/mainframe/mainframe-pi-engineer)<a href="https://agentmods.dev/skills/catwillgh/mainframe/mainframe-pi-engineer"><img src="https://agentmods.dev/badge/skills/catwillgh/mainframe/mainframe-pi-engineer.svg" alt="Measured on agentmods" 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 | $0.00076 | $0.00524 |
| Opus 5 | $0.00038 | $0.00262 |
| Sonnet 5 | $0.00015 | $0.00105 |
| Haiku 4.5 | $0.00008 | $0.00052 |
Grade A, and why
mainframe-pi-engineer 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.
This is a copy
88% identical to pi-engineer — 27 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Pi engineer
Keep architecture, user communication, final review, and the commit in this primary task. Pi implements one already-agreed block in the current Git worktree and returns structured evidence; its internal verifier is a quality gate, not final acceptance.
For a new block, write a short JSON request inside
.agents/runtime/pi/requests/ with this exact shape:
{
"schemaVersion": 1,
"goal": "One observable result",
"writePaths": ["path/or/narrow-glob"],
"excludePaths": [],
"invariants": ["Behavior that must remain true"],
"acceptance": ["Concrete result that can be checked"],
"forbiddenFutureStages": ["Later work that must not begin"],
"checks": [{"argv": ["exact-executable", "arg"], "timeoutMs": 60000}]
}
Keep lists only as detailed as the block requires. Checks must be exact argv,
not inline shell, and cannot invoke Git. Run mainframe-pi engineer --mode new --request <project-relative-request.json>.
For a correction to the same active block, write a packet containing exactly
instructions, missingEvidence, and failedCheckIds arrays, then run
mainframe-pi engineer --mode resume --feedback <project-relative-feedback.json>. Omit --feedback only when resuming
interrupted work without new review findings.
Let a run finish unless it reports a real block. Inspect the returned status,
changed paths, checks, acceptance evidence, and verifier verdict against the
actual diff. ready-for-architect-review means only that Pi's internal pass is
complete. Send an in-scope defect back as one precise resume correction. Once
accepted, create the Conventional Commit here, limited to accepted task paths
and preserving unrelated dirty or staged work. The next new block reconciles
that commit and compacts the persistent Pi session.
Do not copy Pi's internal pipeline into the prompt, pass profile/config/project overrides, ask Pi to commit, or treat its verifier as user acceptance.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago First seen · 49 lines · 76 tokens per session scan A c52f48af9128
mainframe-pi-engineer is a skill published in the GitHub repository CATWILLgh/MAINFRAME (2 stars, last pushed 13d ago), licensed MIT. It adds 76 tokens to every session and 524 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to pi-engineer, differing in 27 lines, and is treated as a copy.
Other skills, from other repositories
cc-hooks
Multi-agent hook system: author hooks once as rulesync-canonical hooks.json (HookDefinitionSchema), deploy via superskill install / superskill hook emit to Claude Code, Codex, OpenCode, Pi (pi-hooks), and Gemini CLI. Covers command, prompt, and http hooks, cross-platform event mapping, and safety invariants.
built-for-shopify-standards
Prepare a Shopify app for Built for Shopify status. Covers current quality criteria, performance, accessibility, Shopify admin integration, compliance webhooks, observability, support, application readiness, and ongoing eligibility.
dev-troubleshooting
Use when a Shopify dev workflow is failing — shopify app dev cryptic errors, Cloudflare tunnel not starting, App Bridge v3→v4 migration 'No AppBridge context provided', GraphQL 200 OK with throttle errors, webhook 401, double-subscribed webhooks, app proxy 404, REST 302 loops, Rust function wasm-validator errors…
merchant-pain-prevention
Use when designing, building, reviewing, or shipping a Shopify app to avoid the patterns that get merchants angry (1-2 star reviews, uninstalls, churn). Covers theme injection / leftover code on uninstall, surprise billing, fake urgency, slow scripts, cancel friction, scope creep, bot-only support, broken on platform…
app-pricing-strategy
Use when designing Shopify app pricing, choosing a pricing model (flat tiered / usage-based / freemium / hybrid), setting trial length (7/14/30 days), structuring 3-4 tier plans, sizing capped usage, raising prices on existing customers, or writing pricing copy for the App Store listing. Triggers: 'shopify app…
ux-modern-app-feel
Use when you want a Shopify embedded app to feel modern, fast, and opinionated like Linear, Notion, Vercel, or Cron — speed-first, keyboard-first, calm UI, opinionated defaults, no-config success path. Covers keyboard shortcuts inside App Bridge, command palette patterns, micro-interactions Polaris allows, density vs…