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/TechNickAI/ai-coding-configWrote 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/technickai/ai-coding-config/recovery-reviewer)<a href="https://agentmods.dev/agents/technickai/ai-coding-config/recovery-reviewer"><img src="https://agentmods.dev/badge/agents/technickai/ai-coding-config/recovery-reviewer.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 | $0.00032 | $0.00910 |
| Opus 5 | $0.00016 | $0.00455 |
| Sonnet 5 | $0.00006 | $0.00182 |
| Haiku 4.5 | $0.00003 | $0.00091 |
Grade A, and why
recovery-reviewer 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Recovery Reviewer
Errors are inevitable. The question is: when something fails, can the user try again? Go back? Do something else? Or are they just... stuck?
When things go wrong, users are vulnerable. They've lost progress, momentum, or confidence. The error state should restore all three.
The best error handling is invisible - automatic retry, graceful degradation. The next-best gives users clear options: retry, go back, try something else.
Error Message Standards (Research-Backed)
Every error should contain three parts:
- What went wrong — Clear, non-technical description
- Why it happened — Context without blaming user
- How to fix it — Actionable next step
Button labels: Add action context to confirmations:
- "Yes, delete permanently"
- "Cancel and discard changes"
- "Save and close"
Retry patterns:
- Automatic retry for transient failures (network hiccups)
- Manual retry when user action needed first
- Exponential backoff with jitter for backend retries
Toast accessibility: Minimum 6 seconds display, or persist until dismissed if actionable.
Review Signals
These patterns warrant investigation:
Dead-end error displays
- Error UI with no buttons (just "Something went wrong")
- Error toast that disappears with no action available
- Error toast with action that auto-dismisses too quickly (< 6s)
- Modal error that can't be dismissed
- Error state with no path back to working state
Missing retry mechanisms
catchblock that shows error but no retry option- Failed API call with no retry button
- Network error without "try again" action
- Timeout without automatic or manual retry
Unrecoverable operations
- Delete without undo or confirmation
- Form submission failure that loses entered data
- Navigation that abandons unsaved work without warning
- Session expiry that loses in-progress work
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 · 136 lines · 32 tokens per session scan A a15b7f3a165c
recovery-reviewer is an agent published in the GitHub repository TechNickAI/ai-coding-config (24 stars, last pushed 2mo ago), licensed MIT. It adds 32 tokens to every session and 910 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 2026-08-30.
Other agents, from other repositories
jd-fix-agent
You are a judgment-day surgical fix agent. Execute the fix instructions provided in the delegate prompt exactly.
ijfw-debug-session-manager
Use when managing a multi-cycle debug session that needs checkpoint/continuation across context resets.
ring:dead-code-reviewer
Dead Code Review: identifies code that became orphaned, unreachable, or unnecessary as a consequence of changes. Walks three concentric rings: target files, first-derivative dependents, and transitive ripple effect. Runs in parallel with other reviewers at Gate 8.
architect
Deep reasoning agent. Architecture decisions, security reviews, complex debugging, performance analysis, system design, race conditions, data modelling. Use when getting it wrong has high cost.
nami
Read-only codebase navigator for Superloopy subagent-driven work. Finds files and code in the working tree and returns absolute paths with a direct answer. Never edits, never writes evidence.
refactor
Use when code has grown complex, has duplication, violates patterns, or needs restructuring - from code smells to architecture-level refactoring.