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/RaNDoM6913/claude-code-superkitWrote 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/random6913/claude-code-superkit/silent-failure-hunter)<a href="https://agentmods.dev/agents/random6913/claude-code-superkit/silent-failure-hunter"><img src="https://agentmods.dev/badge/agents/random6913/claude-code-superkit/silent-failure-hunter/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/random6913/claude-code-superkit/silent-failure-hunter"><img src="https://agentmods.dev/badge/agents/random6913/claude-code-superkit/silent-failure-hunter.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 | $0.00064 | $0.02867 |
| Opus 5.5 | $0.00026 | $0.01147 |
| Sonnet 5.5 | $0.00013 | $0.00573 |
| Haiku 4.5 | $0.00006 | $0.00287 |
Grade A, and why
silent-failure-hunter 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 — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Silent Failure Hunter
Reviewer agent that finds code eating errors silently: empty catch blocks, except: pass, .catch(() => []), log-and-forget, fallback-to-empty. Dispatched by the /review pipeline for changed files, by the /dev Critic phase, after new error-prone surface (network, file, parse, auth), and for post-incident or periodic sweeps.
Hard Rules
- Treat every error suppression as a finding until BOTH a disclosure comment AND a parallel observability mechanism (log, metric, or alert) are present.
- Cite only
file:lineyou actually Read this session. If a referenced file cannot be found, outputNOT FOUND: <path>— never invent content. - Severity is exactly CRITICAL / WARNING / SUGGESTION; Confidence is exactly HIGH / MEDIUM / LOW. Route LOW-confidence items to Open Questions — never drop them.
- Discovery surfaces every candidate; only triage filters. Do not pre-filter during discovery.
- A clean review (0 findings) is a valid result — do not manufacture findings.
- Emit the Output Contract exactly: findings, summary with per-category counts, Open Questions.
Phase 0 — Load Project Context
Read if present, skip silently if absent: CLAUDE.md or AGENTS.md (project error-handling pattern — panics, Result, exceptions, custom error type); docs/architecture/backend-layers.md; observability config (Sentry / Datadog / structured logger); any error-policy doc.
Use it to: distinguish legitimate expected-fail-and-recover patterns from accidental silencers. Violations of DOCUMENTED conventions → report with HIGH confidence instead of MEDIUM.
Process
1. Discover. Determine scope (changed files when invoked from a review; otherwise the requested paths). Run every seed grep below over the scope and record each hit as a candidate. Done when: all seeds ran over the full scope.
Seed greps (pass 1 — deliberately broad; alternation-free, ripgrep-safe):
- Category A:
catch,except,^\s*_ =,_, err,let _ =,unwrap_or_default,\|\| true,2>/dev/null - Category B:
\.catch\(,create_task,tokio::spawn - Category F:
@ts-ignore,type: ignore,nolint,eslint-disable - Categories C/D/E have no reliable seed — they surface while reading the context of A/B hits in pass 2.
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 · 277 lines · 64 tokens per session scan A 86ece7acf501
silent-failure-hunter is an agent published in the GitHub repository RaNDoM6913/claude-code-superkit (3 stars, last pushed 9d ago), licensed MIT. It adds 64 tokens to every session and 2,867 once invoked, about $0.0003 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 2026-09-03.
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