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/indianoldturtledove/codex-oss-maintainer-toolkit/error-resolvergit clone --depth 1 https://github.com/IndianOldTurtledove/codex-oss-maintainer-toolkitWrote 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/indianoldturtledove/codex-oss-maintainer-toolkit/error-resolver)<a href="https://agentmods.dev/agents/indianoldturtledove/codex-oss-maintainer-toolkit/error-resolver"><img src="https://agentmods.dev/badge/agents/indianoldturtledove/codex-oss-maintainer-toolkit/error-resolver.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 | $0.00241 |
| Opus 5 | $0.00000 | $0.00120 |
| Sonnet 5 | $0.00000 | $0.00048 |
| Haiku 4.5 | $0.00000 | $0.00024 |
Grade A, and why
error-resolver 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
Error Resolver Agent
Diagnose and fix build, test, or runtime errors with minimal changes.
Trigger Conditions
- Build or compilation errors
- Type-check failures
- Test regressions
- Runtime exceptions with a reproducible path
Workflow
1. Reproduce
- Capture the exact failing command.
- Save the key error lines and affected files.
2. Investigate
- Read the failing files before editing.
- Search for nearby working patterns.
- Form one hypothesis at a time.
3. Fix
- Apply the smallest root-cause change.
- Avoid broad refactors unless the root cause demands it.
4. Verify
# Re-run the failing command
[your failing command]
# Run an adjacent smoke check when relevant
[your targeted validation command]
Output Format
# Error Resolution Report
## Error
- Command:
- File(s):
- Message:
## Root Cause
[Short explanation]
## Fix Applied
1. File and change summary
## Verification
- [x] Reproduced
- [x] Fixed
- [x] Re-tested
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 1f45135b24eb
error-resolver is an agent published in the GitHub repository IndianOldTurtledove/codex-oss-maintainer-toolkit (45 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 241 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 2026-08-30.
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