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Jsonl audit logger best effort

Skill kjuhwa/skills-hub/skills/observability/jsonl-audit-logger-best-effort

Append-only JSONL audit log for security-relevant events that swallows OS errors so logging failures never crash the calling code, and reads back the last N entries on demand.From its SKILL.md

Install
npx -y skills add kjuhwa/skills-hub --skill jsonl-audit-logger-best-effort

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SKILL.md

3.0 KB, 569 tokens by cl100k_base, as published. Nobody here has run it

Best-Effort JSONL Audit Logger

When to use

You need a tamper-evident-ish audit trail for security events (guardrail matches, key resolutions, redactions) that lives on the user's local disk, but a disk-full or permission error must NOT propagate up and crash the LLM call.

How it works

  • One file (default ~/.opensre/guardrail_audit.jsonl).
  • log() writes one JSON object per line with UTC timestamp, rule name, action, and a 40-char preview of the matched text.
  • All writes wrapped in try/except OSError and just log a warning on failure.
  • read_entries(limit=100) returns the last N parsed entries, skipping malformed lines.

Example

import json, logging
from datetime import UTC, datetime
from pathlib import Path

class AuditLogger:
    def __init__(self, path: Path | None = None) -> None:
        self._path = path or Path.home() / ".opensre" / "guardrail_audit.jsonl"

    def log(self, *, rule_name: str, action: str,
            matched_text_preview: str, context: str = "") -> None:
        preview = matched_text_preview[:40]
        entry = {
            "timestamp": datetime.now(UTC).isoformat(),
            "rule_name": rule_name, "action": action,
            "matched_text_preview": preview, "context": context,
        }
        try:
            self._path.parent.mkdir(parents=True, exist_ok=True)
            with self._path.open("a", encoding="utf-8") as fh:
                fh.write(json.dumps(entry) + "\n")
        except OSError:
            logging.getLogger(__name__).warning("Failed to write audit to %s", self._path)

    def read_entries(self, *, limit: int = 100) -> list[dict]:
        if not self._path.exists(): return []
        try:
            lines = self._path.read_text(encoding="utf-8").strip().splitlines()
        except OSError:
            return []
        out = []
        for line in lines[-limit:]:
            try: out.append(json.loads(line))
            except json.JSONDecodeError: continue
        return out

Gotchas

  • Always preview-truncate the matched text — never write full secrets to the audit log; the audit defeats its own purpose if the file becomes a leaked-secrets goldmine.
  • Use Path.home() / ".myapp" / ... so the audit lives outside the project tree and survives git clean.
  • For high-throughput scenarios, batch-buffer writes and flush periodically; this implementation is simple enough for sub-100-event/sec workloads.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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