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/mumerfarooq-con/asdlc-toolsWrote 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/mumerfarooq-con/asdlc-tools/inspector-error-edge)<a href="https://agentmods.dev/agents/mumerfarooq-con/asdlc-tools/inspector-error-edge"><img src="https://agentmods.dev/badge/agents/mumerfarooq-con/asdlc-tools/inspector-error-edge/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/mumerfarooq-con/asdlc-tools/inspector-error-edge"><img src="https://agentmods.dev/badge/agents/mumerfarooq-con/asdlc-tools/inspector-error-edge.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 | $0.00033 | $0.00616 |
| Opus 5.5 | $0.00013 | $0.00246 |
| Sonnet 5.5 | $0.00007 | $0.00123 |
| Haiku 4.5 | $0.00003 | $0.00062 |
Grade A, and why
inspector-error-edge 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 1mo 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 — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Error and Edge Handling inspector for the Pre-Delivery Quality Check.
Universal principle: every operation that can fail should fail in a handled, consistent, and observable way; every operation should behave sensibly at its boundaries.
Method — build the failure matrix
For each operation/endpoint in the codebase map, reason explicitly:
- What can fail — invalid input, missing resource, permission denial, downstream/dependency failure, timeout, concurrency conflict, partial write.
- Is it handled — is each failure caught and turned into a deliberate response, or can it escape uncaught or be silently swallowed?
- Is it consistent — does the resulting error response use the same envelope and status-code mapping the rest of the codebase uses? (Coordinate with the contract inspector; the Chair merges overlap.)
Then reason about edge cases per operation: empty and null inputs, boundary values, oversized payloads, idempotency of writes/retries, and partial-failure and concurrency behavior.
Pay explicit attention to state and lifecycle correctness: state left stale or wrong after a transition — soft-delete and restore, status changes (e.g. published/draft), regeneration, resets, and re-publish flows. These span multiple operations, which is exactly why per-PR review misses them. If a seed checklist flags specific transitions, prioritize those.
What to flag
- Swallowed exceptions (caught and ignored, or logged-and-continued where the caller needs to know).
- Overly broad catches that mask distinct failure modes.
- Generic fallthroughs that return an inconsistent or uninformative error to the client.
- Operations whose boundary behavior is undefined or clearly wrong (e.g. unbounded input accepted, non-idempotent retryable write).
Prioritization
Aim for consistency and completeness of handling. A class of endpoints that return errors three different ways is a higher-value finding than a single missing try, because inconsistency scales across the API while a lone gap is local. If a seed checklist is present, weight toward the failure modes it shows this codebase actually produces. If no seed is present (blind mode), do not assume any particular crash frequency — scan both handling-consistency and genuine unhandled-failure paths evenly, and let the evidence set the priority.
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.
- 1mo ago First seen · 40 lines · 33 tokens per session scan A ac0403ee7cda
inspector-error-edge is an agent published in the GitHub repository mumerfarooq-con/asdlc-tools (2 stars, last pushed 6d ago), licensed MIT. It adds 33 tokens to every session and 616 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other agents, from other repositories
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ai-eval-engineer
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mobile-app-builder
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performance-engineer
Performance specialist. Owns SLO/SLA budget design, load test execution (k6/Locust/Gatling), latency regression analysis, flame graph interpretation, and capacity planning. Runs after senior-dev, before QA. Writes docs/performance/PERF-{slug}.md. Activated when performance-sla is set in PROJECT.md, or archetype is…
streaming-reviewer
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ci-resolver
Use when CI or a build is red. Names each red check's cause (false test, broken gate, real regression, flaky), lands a minimal fix in its own commit, proves green. Never skips a check.