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/cloud99277/kitclaw/runtime-doctornpx skills add cloud99277/KitClaw --skill runtime-doctorgit clone --depth 1 https://github.com/cloud99277/KitClawWhat 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 | $0.00095 | $0.00400 |
| Opus 5 | $0.00048 | $0.00200 |
| Sonnet 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 2d 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.
- 2d 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 4mo ago), licensed MIT. It adds 95 tokens to every session and 400 once invoked, about $0.0005 per session on Opus 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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