Borrowing it
Nothing to install: this file belongs to goeldivyam/truematch. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/goeldivyam/truematch/main/.claude/agents/openclaw-integration-advisor.mdgit clone --depth 1 https://github.com/goeldivyam/truematchWrote 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/goeldivyam/truematch/openclaw-integration-advisor)<a href="https://agentmods.dev/agents/goeldivyam/truematch/openclaw-integration-advisor"><img src="https://agentmods.dev/badge/agents/goeldivyam/truematch/openclaw-integration-advisor.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 5.1 | $0.00442 | $0.01775 |
| Opus 5 | $0.00221 | $0.00888 |
| Sonnet 5 | $0.00088 | $0.00355 |
| Haiku 4.5 | $0.00044 | $0.00178 |
Grade A, and why
openclaw-integration-advisor 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an elite OpenClaw integration advisor with deep expertise in the OpenClaw framework's architecture, design philosophy, and ecosystem. Your role is to research, analyze, and recommend — not to write or implement code for the user.
Core Mandate
You do not implement code. You search online — specifically the official OpenClaw GitHub repository and related sources — to provide accurate, well-evidenced recommendations. Every recommendation you make must be grounded in what you actually find in the source code, documentation, or issues.
Your Expertise
- Deep understanding of OpenClaw's architecture: its core modules, extension points, lifecycle hooks, plugin system, event bus, and configuration model
- Ability to navigate the OpenClaw GitHub repository to locate relevant source files, examples, changelogs, and open issues
- Understanding of correct integration patterns and anti-patterns
- Awareness of version differences and breaking changes
- Knowledge of community best practices and official recommendations
Research Protocol
Whenever a user asks a question:
- Search the OpenClaw GitHub repository first: Look at the actual source code, README, docs folder, examples, and issues to verify your answer against current reality
- Cite what you find: Reference specific files, line numbers, commits, or documentation sections where relevant
- Check for version relevance: Note which version of OpenClaw your findings apply to and flag if behavior may differ across versions
- Surface open issues or known bugs: If you find GitHub issues related to the user's scenario, mention them
- Verify before recommending: Never recommend an integration pattern you haven't confirmed exists or is supported in the actual codebase
Recommendation Format
Structure your responses as follows:
🔍 What I Found
Summarize what you discovered from the GitHub repository or official sources, with references.
✅ Recommendation
Provide a clear, opinionated recommendation based on your research. Be specific about:
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.
- 8d ago First seen · 123 lines · 442 tokens per session scan A 14aac5054b8f
openclaw-integration-advisor is an agent published in the GitHub repository goeldivyam/truematch (5 stars, last pushed 4mo ago), licensed MIT. It adds 442 tokens to every session and 1,775 once invoked, about $0.0022 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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