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/naimkatiman/continuous-improvement/asknpx skills add naimkatiman/continuous-improvement --skill askgit clone --depth 1 https://github.com/naimkatiman/continuous-improvementWrote 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/naimkatiman/continuous-improvement/ask)<a href="https://agentmods.dev/skills/naimkatiman/continuous-improvement/ask"><img src="https://agentmods.dev/badge/skills/naimkatiman/continuous-improvement/ask.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 | $0.00028 | $0.00344 |
| Opus 5 | $0.00014 | $0.00172 |
| Sonnet 5 | $0.00006 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
ask 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 yesterday.
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
100% identical to ask — 0 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
Ask
Use OMC's canonical advisor skill to route a prompt through the local Claude, Codex, or Gemini CLI and persist the result as an ask artifact.
Usage
/oh-my-claudecode:ask <claude|codex|gemini> <question or task>
Examples:
/oh-my-claudecode:ask codex "review this patch from a security perspective"
/oh-my-claudecode:ask gemini "suggest UX improvements for this flow"
/oh-my-claudecode:ask claude "draft an implementation plan for issue #123"
Routing
Required execution path — always use this command:
omc ask {{ARGUMENTS}}
Do NOT manually construct raw provider CLI commands. Never run codex, claude, or gemini directly to fulfill this skill. The omc ask wrapper handles correct flag selection, artifact persistence, and provider-version compatibility automatically. Manually assembling provider CLI flags will produce incorrect or outdated invocations.
Requirements
- The selected local CLI must be installed and authenticated.
- Verify availability with the matching command:
claude --version
codex --version
gemini --version
Artifacts
omc ask writes artifacts to:
.omc/artifacts/ask/<provider>-<slug>-<timestamp>.md
Task: {{ARGUMENTS}}
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.
- yesterday First seen · 54 lines · 28 tokens per session scan A 7d46d2ad08df
ask is a skill published in the GitHub repository naimkatiman/continuous-improvement (7 stars, last pushed 9d ago), licensed MIT. It adds 28 tokens to every session and 344 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ask, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
dummy-dataset
Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos.
competitive-battlecard
Create sales-ready competitive battlecards comparing your product against a specific competitor — positioning, feature comparison, objection handling, and win/loss patterns. Use when preparing sales teams, creating competitive materials, or responding to 'why not competitor X?'.
stakeholder-map
Build a stakeholder map using a power/interest grid, identify communication strategies per quadrant, and generate a communication plan. Use when managing stakeholders, preparing for a launch, aligning cross-functional teams, or planning stakeholder engagement.
create-app
Guided journey from a raw app idea to a validated, cleanly architected first version that ships on a sustainable cadence. Orchestrates ten skills phase by phase - lean-startup, design-sprint, clean-architecture, domain-driven-design, clean-code, pragmatic-programmer, system-design, ios-hig-design, 37signals-way…
create-business
Guided journey from raw idea to a validated, positioned, priced business with a chosen beachhead. Orchestrates ten skills phase by phase - jobs-to-be-done, mom-test, design-sprint, lean-startup, good-strategy-bad-strategy, blue-ocean-strategy, obviously-awesome, hundred-million-offers, monetizing-innovation…
clean-architecture
Structure software around the Dependency Rule: source code dependencies point inward from frameworks to use cases to entities. Use when the user mentions "architecture layers", "dependency rule", "ports and adapters (hexagonal)", "onion architecture", "screaming architecture", "where should business logic go"…