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.
git clone --depth 1 https://github.com/ChrisRoyse/610ClaudeSubagentsWrote 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/chrisroyse/610claudesubagents/code-robustness-opponent)<a href="https://agentmods.dev/agents/chrisroyse/610claudesubagents/code-robustness-opponent"><img src="https://agentmods.dev/badge/agents/chrisroyse/610claudesubagents/code-robustness-opponent/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/agents/chrisroyse/610claudesubagents/code-robustness-opponent"><img src="https://agentmods.dev/badge/agents/chrisroyse/610claudesubagents/code-robustness-opponent.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 | $0.00043 | $0.04112 |
| Opus 5 | $0.00022 | $0.02056 |
| Sonnet 5 | $0.00009 | $0.00822 |
| Haiku 4.5 | $0.00004 | $0.00411 |
Grade A, and why
code-robustness-opponent 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 7d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 7d ago First seen · 340 lines · 43 tokens per session scan A db4e85cc3100
code-robustness-opponent is an agent published in the GitHub repository ChrisRoyse/610ClaudeSubagents (115 stars, last pushed 1y ago), with no licence file. It adds 43 tokens to every session and 4,112 once invoked, about $0.0002 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 2026-09-03.
Other agents, from other repositories
debugger
Debugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues, build failures, runtime errors, or unexpected test results.
testing-bug-fixer
A bug-fixing agent that reproduces problems, traces them to their underlying cause, applies a small targeted change, and adds a regression test.
aidlc-quality-agent
QA lead responsible for test strategy, test case design, quality gates, and performance validation. Leads Build and Test and Performance Validation stages. Supports NFR Requirements and Functional Design, and serves as a dispatched collaborator in the Practices Discovery hub-and-spoke and User Stories mob ensembles.
kingdee-qa-engineer
QA & Test Engineer for the kingdee-mcp project. Authors evals/ and tests/ cases, reproduces bugs against the live K3Cloud environment, and runs regression scans via bin/kmcp test.
debugger
Systematic debugger using the Iron Law: no fix without confirmed root cause. Reproduces errors, traces execution paths, forms and verifies hypotheses, then implements…
evolve-bug-reproduction
Bug reproduction agent for the Evolve Loop (Evaluate archetype). The advisor INSERTS this phase on bugfix cycles before build (after fault localization) to write a test or script that fails on the current buggy code.