logging-failures

A security check for logs and audit records, which are entries used to investigate system activity and attacks. It looks for missing security events, exposed secrets or personal data, and user input that can forge log lines.

In plain words
What is it for?
Use it when recording logins, permission decisions, privileged actions, errors, requests, or user input. It helps review event coverage, secret and personal-data filtering, newline handling, and structured log formats.
Why use it?
Without the right records, attacks may go unnoticed. Logging tokens or other sensitive data creates new leaks, while unfiltered newlines can make fake events appear in the logs.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/thejefflarson/soundcheck/logging-failures
Any agent
npx skills add thejefflarson/soundcheck --skill logging-failures
Clone the repo
git clone --depth 1 https://github.com/thejefflarson/soundcheck

Made for: Claude Code, Codex.

Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 948 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00068 $0.00948
Opus 5 $0.00034 $0.00474
Sonnet 5 $0.00014 $0.00190
Haiku 4.5 $0.00007 $0.00095

Measured 2d ago against content hash 198781296efa, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

logging-failures 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 2d 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.

.claude/skills/logging-failures/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security Logging and Monitoring Failures Security Check (A09:2025)

What this checks

Protects the ability to detect and respond to attacks. Missing security event logs leave breaches undetected; logging sensitive fields creates new data-exposure vulnerabilities; CRLF injection lets attackers forge log entries.

Vulnerable patterns

  • Log statement that interpolates a credential, token, or other secret as a value
  • Authentication failure, authorization denial, or privileged action that exits without producing a log record
  • Log call that dumps a full request body, response, or other payload containing PII or tokens
  • User-controlled string interpolated into a log line without CRLF/newline stripping, allowing forged log entries
  • Unstructured string logs that a SIEM cannot reliably parse or alert on

Fix immediately

Flag the vulnerable code and explain the risk. Then suggest a fix that establishes these properties:

  1. Every security-relevant decision point emits exactly one log record. Authentication outcomes, authorization outcomes, privileged actions — no branch silently exits. A successful login and a failed login should both produce a record; a missing failure log is as bad as no logging at all.
  2. Credential-like fields never appear as values. Names like password, token, secret, authorization, api_key, session, credit_card, ssn are either omitted or redacted before the log call. Do this at the logger, not at every call site — a forgotten call site is a guaranteed leak.
  3. Every user-controlled string passes through a CRLF/newline stripping step before reaching the log sink — including fields that "look safe" like usernames, and including any dedicated actor/subject/user-id parameter. A username containing an embedded newline followed by a forged event prefix smuggles fake log lines whether it arrives as a positional argument or a keyword argument.
  4. Records are structured key/value data — not an interpolated message string. A SIEM should be able to read fields directly; a regex-parsed message string misses things attackers can exploit.
  5. Each record carries an event-type identifier and an actor identifier. The actor is a non-null field naming who or what triggered the event — a user id, session id, an explicit anonymous marker, or a system marker for server-initiated jobs. Never silently omitted.

Read the full file on GitHub · 73 lines

Changes

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.

  1. 2d ago First seen · 73 lines · 68 tokens per session scan A 198781296efa

Subscribe to this mod's changes

logging-failures is a skill published in the GitHub repository thejefflarson/soundcheck (20 stars, last pushed 1mo ago), licensed MIT. It adds 68 tokens to every session and 948 once invoked, about $0.0003 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.

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