Install
$ agentstack add skill-arnie016-codex-prompt-templates-codex-supercharge-router ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Codex Supercharge Router
Use this first when the request is broad. Pick one primary skill, then add at most one support skill.
Routing Table
| User need | Primary skill | Support skill | |---|---|---| | "I am running out of context" | $low-token-context | $model-cost-router | | "Understand this repo" | $repo-intelligence-brief | $codebase-graph-scout | | "Make this repo easier to revisit" | $repo-to-wiki | $agent-memory-ledger | | "Use or test an MCP server" | $mcp-server-lab | $mcp-safety-review | | "Add MCP CI/conformance gates" | $auto-skill-build-mcp-conformance-harness | $mcp-safety-review | | "Is this MCP safe?" | $mcp-safety-review | $sandbox-source-intake | | "Clean up MCP config secrets" | $auto-skill-safety-mcp-secret-guard | $mcp-safety-review | | "Turn an API into tools" | $openapi-to-mcp-skill | $mcp-safety-review | | "Build, redesign, or review frontend UI" | $open-design-ui-library | $low-token-context | | "Ship a reliable agent workflow" | $auto-skill-build-agent-reliability-loop | $agent-observability | | "Track local agent runs/costs" | $agent-observability | $model-cost-router | | "Append or review recent run history" | $auto-skill-build-agent-run-ledger-dashboard | $agent-observability | | "Grade Supercharge edits or share status" | $auto-skill-build-supercharge-feedback-loop | $agent-observability | | "Run bounded iterative experiments" | $experiment-loop-runner | $agent-memory-ledger | | "Choose model tier or cost route" | $model-cost-router | $low-token-context | | "Import third-party skill/prompt pack" | $auto-skill-safety-external-skill-intake | $skill-quality-gate | | "Create reusable prompt templates" | $codex-prompt-template-builder | $skill-quality-gate | | "Create many useful skills" | $skill-pack-factory | $skill-quality-gate | | "Audit my skill/plugin pack" | $skill-quality-gate | $low-token-context | | "Clone fresh repos safely" | $sandbox-source-intake | $repo-intelligence-brief | | "Synthesize patterns across cloned repos" | $auto-skill-build-source-pattern-synthesis | $skill-pack-factory | | "Verify GitHub trend or discovery claims" | $auto-skill-trend-github-discovery-radar | $sandbox-source-intake | | "Set up a day/week workflow" | $workflow-launchpad | $agent-memory-ledger | | "Set up daemon/status/worker control" | $workflow-launchpad | $mcp-safety-review |
Boundary Rules
- If the request affects live users, external tools, accounts, data, payments,
or production budgets, choose the reliability or safety skill before local observability.
- If the user asks for CI, release gates, JUnit/XML, conformance, or tool-surface
diffs, choose $auto-skill-build-mcp-conformance-harness over $mcp-server-lab.
- If the task is one bounded trial with a stop condition, use
$experiment-loop-runner; if it feeds production guardrails or canaries, use $auto-skill-build-agent-reliability-loop.
- If the task is only model choice or token/cost measurement, use
$model-cost-router; if routing is enforced by gateway budgets or fallback policy, use $auto-skill-build-agent-reliability-loop.
- If the source is an external skill pack, slash-command pack, hook plugin, or
prompt catalogue, run $auto-skill-safety-external-skill-intake before $skill-pack-factory.
- If the task creates or adapts reusable Codex prompt templates, use
$codex-prompt-template-builder. If the template pack came from an external source, run $auto-skill-safety-external-skill-intake first; run $skill-quality-gate before publishing.
- If the task compares multiple local source clones before deciding what to
build, use $auto-skill-build-source-pattern-synthesis before $skill-pack-factory.
- If the task uses current popularity, trend, stars, topics, "latest", or public
launch/discoverability claims, use $auto-skill-trend-github-discovery-radar before writing README, marketplace, or skill-generation conclusions.
- If the task has daemons, workers, queues, sidecars, task APIs, status/log
commands, or multi-agent leases, use $workflow-launchpad before starting processes. Add $mcp-safety-review only when the control surface exposes side-effecting tools or credentials.
- If the task creates, edits, reviews, grades, or validates Codex Supercharge
artifacts, append a $auto-skill-build-supercharge-feedback-loop batch so future sessions and automations can see the latest state.
- If the task turns an OpenAPI/Swagger spec into tools, use
$openapi-to-mcp-skill for the surface plan. Add $mcp-safety-review before serving or installing any generated bridge when credentials, writes, destructive operations, admin actions, or account data are involved.
- If the task is visual/frontend work, use
$open-design-ui-libraryfor
design-system selection and craft checks. Use $workflow-launchpad only when process control, local daemons, or worker lifecycle is the main risk.
Skip When
- The user has explicitly named the exact skill or plugin to use.
- The task is a narrow code edit with an obvious local workflow.
Default Policy
- Prefer small, composable workflows over large magic systems.
- Prefer local markdown state over repeated long prompts.
- Prefer shallow clones and README/manifest inspection before installs.
- Prefer source evidence over trend-list claims.
- When a repo is unverified or risky, classify it as inspiration only.
Read references/source-repos.md when you need the cloned source inventory. Read references/source-pattern-synthesis.md when comparing source patterns. Read references/github-discovery-radar.md when claims depend on current GitHub evidence, public repo status, stars, topics, or trend positioning. Read references/workflow-control-plane.md when launching daemon, worker, status/log, task API, or multi-agent coordination workflows. Read references/supercharge-feedback-loop.md before continuing prior Codex Supercharge artifact work or handing status to subagents/automations. Read references/openapi-tool-surface.md when converting API specs into MCP or agent tool surfaces. Read references/open-design-ui-library.md when selecting UI systems, tokens, or craft checks. Read references/prompt-template-system.md and prompt-templates/README.md when creating or adapting reusable prompt templates. Read references/skill-routing-boundaries.md when routing overlaps.
Validation
- Choose one primary skill and at most one support skill.
- Escalate safety/reliability before execution when accounts, credentials,
live users, or destructive tools are involved.
- If routing overlaps, cite the boundary rule used.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Arnie016
- Source: Arnie016/codex-prompt-templates
- License: MIT
- Homepage: https://github.com/Arnie016/codex-prompt-templates
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.