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 cloud99277/KitClaw --skill runtime-doctorgit clone --depth 1 https://github.com/cloud99277/KitClawWrote 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/cloud99277/kitclaw/runtime-doctor)<a href="https://agentmods.dev/skills/cloud99277/kitclaw/runtime-doctor"><img src="https://agentmods.dev/badge/skills/cloud99277/kitclaw/runtime-doctor/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/cloud99277/kitclaw/runtime-doctor"><img src="https://agentmods.dev/badge/skills/cloud99277/kitclaw/runtime-doctor.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 | $0.00095 | $0.00400 |
| Opus 5.5 | $0.00038 | $0.00160 |
| Sonnet 5.5 | $0.00019 | $0.00080 |
| Haiku 4.5 | $0.00010 | $0.00040 |
Grade A, and why
runtime-doctor 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.
What it actually says
Runtime Doctor
runtime-doctor checks whether the shared runtime contract is still true.
It validates the machine-readable manifest, the WSL memory layout, the Windows Codex bridge, and the OpenClaw shared-skill link.
Quick Start
python3 ~/.ai-skills/runtime-doctor/scripts/runtime_doctor.py
python3 ~/.ai-skills/runtime-doctor/scripts/runtime_doctor.py --json
python3 ~/.ai-skills/runtime-doctor/scripts/runtime_doctor.py \
--manifest ~/.ai-skills/.system/runtime-manifest.json
What It Checks
- canonical skills, memory, and L3 paths
- whiteboard and memory config readability
- Windows Codex WSL-mode config and env vars
- Codex bridge symlinks for the curated shared skill set
- OpenClaw shared link resolution
Design Constraints
- stdlib only
- read-only diagnostics by default
- explicit machine-readable JSON output for automation
- failures should name the exact path or config value that drifted
What ships with it
2 files 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.
- 1mo ago First seen · 52 lines · 95 tokens per session scan A f2586ce29b54
runtime-doctor is a skill published in the GitHub repository cloud99277/KitClaw (5 stars, last pushed 6mo ago), licensed MIT. It adds 95 tokens to every session and 400 once invoked, about $0.0004 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.
Other skills, from other repositories
achieving-cmmc-level-2-compliance
Prepare a defense-contractor environment for CMMC Level 2 certification: scope CUI and FCI, implement the 110 NIST SP 800-171 Rev 2 security requirements across 14 families, compute the SPRS score with the DoD Assessment Methodology, manage a compliant POA&M, and ready the organization for a C3PAO assessment. Use when…
escalation-governance
Assess whether to escalate models. Use when evaluating reasoning depth.
agt-policy-authoring
Create and validate a minimal AGT Copilot CLI policy tailored to the repository being inspected.
meraki-monitoring
Cisco Meraki monitoring and diagnostics (read-only) — device availability, loss and latency history, uplink status, live tool results, configuration change log, API request analytics via Cisco's official Meraki MCP. Use when checking Meraki device health, investigating uplink loss, or reviewing recent configuration…
Bun Test Runner
Fast test execution with Bun's built-in test runner including snapshot testing, mocking, code coverage, lifecycle hooks, DOM testing with happy-dom, and migration from Jest and Vitest to Bun test.
huawei-cloud-dws-cpu-diag
DWS cluster CPU high root cause diagnosis skill, based on KooCLI v3.2.0+ and DWS Autopilot MCP Server. Automatically collects CPU metrics, analyzes root causes (customer-side / system-side), and outputs a standardized diagnosis report. Applicable to DWS cluster CPU usage too high, CPU alarms, CPU load anomaly…