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 agents/cantara/kcp-harness/openclawgit clone --depth 1 https://github.com/Cantara/kcp-harnessWrote 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/agents/cantara/kcp-harness/openclaw)<a href="https://agentmods.dev/agents/cantara/kcp-harness/openclaw"><img src="https://agentmods.dev/badge/agents/cantara/kcp-harness/openclaw.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 | $0.00000 | $0.00385 |
| Opus 5 | $0.00000 | $0.00192 |
| Sonnet 5 | $0.00000 | $0.00077 |
| Haiku 4.5 | $0.00000 | $0.00038 |
Grade A, and why
openclaw 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 4d 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
OpenClaw
OpenClaw is an open-source multi-channel agent with a plugin hooks system. KCP Harness integrates via two hooks: before_prompt_build and before_agent_finalize.
Setup
kcp-harness integrate openclaw
This generates:
openclaw.json
{
"mcpServers": {
"kcp-harness": {
"command": "npx",
"args": ["kcp-harness", "serve"]
}
},
"plugins": {
"kcp-governance": {
"hooks": {
"before_prompt_build": {
"tool": "kcp_load",
"arguments": {
"task": "{{task}}",
"manifest": "./knowledge.yaml"
},
"description": "Load governed knowledge before prompt assembly"
},
"before_agent_finalize": {
"tool": "kcp_trace",
"arguments": {
"task": "{{task}}",
"manifest": "./knowledge.yaml"
},
"description": "Decision trace for audit trail before finalizing"
}
}
}
}
}
Plugin Hooks
before_prompt_build
Calls kcp_load to inject governed knowledge into the prompt before it's assembled. This ensures the model sees governed knowledge as part of its context, not as a separate tool call result.
before_agent_finalize
Calls kcp_trace after the agent produces its response, creating a 14-gate decision trace for the audit log. This provides a compliance record of what knowledge was available and why.
The {{task}} Placeholder
Both hooks use {{task}}, which OpenClaw replaces with the current task description. This ensures the harness plans knowledge selection based on the actual task.
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.
- 4d ago First seen · 61 lines · 0 tokens per session scan A ac7ff1f13622
openclaw is an agent published in the GitHub repository Cantara/kcp-harness (0 stars, last pushed 10d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 385 tokens. 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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