Finds what you cannot see in pasted code, configs, prompts and data files - Trojan Source bidi controls, hidden Unicode tag text (prompt injection), zero-width and invisible characters, odd spaces, control characters, Cyrillic/Greek homoglyphs, mojibake, invalid UTF-8, BOMs, mixed line endings and non-NFC text. Decodes hidden text, ranks findings and writes a cleaned copy. Includes an offline stdlib Python checker with --self-test.
Explains Python regular expressions token by token, tests them on must-match and must-not-match samples with spans and named groups, and flags risky patterns: nested quantifiers that backtrack catastrophically, [A-z], unescaped dots, empty matches, and missing anchors, then proposes a safer rewrite. Use when a user asks "what does this regex do?", "why doesn't it match?", or "is this regex safe?". Includes a tested stdlib Python checker.
Decodes a JWT without trusting it and lints the header and claims: alg none, remote jku/x5u keys, missing or expired exp, nbf/iat clock skew, millisecond timestamps, long lifetimes, iss/aud mismatches, sensitive data in the payload, and HMAC signature checks with a secret from an env var. Use when a login or API call fails with 401, or when reviewing token settings. Includes a stdlib Python inspector with --self-test.
Profiles CSV and spreadsheet exports before you trust them: infers column types and measures missing values, duplicates, mixed types, outliers, date format chaos, and key uniqueness with a tested Python script, then writes a prioritized data quality report with safe fixes.
Turns noisy application, server, and access logs into a ranked list of error patterns with counts, first and last seen, spikes, and patterns that are new versus a known-good baseline, then separates root causes from symptoms and writes a short incident triage report. Includes a tested stdlib Python log clusterer.
Red-teams agent prompts and tools for prompt injection, tool abuse, and untrusted-content paths.
Compares environment variables across local, staging and production, finds missing, unused or mismatched settings before they break a deploy, and keeps your example env file honest.
Reads a legacy codebase and documents features, dependencies, and risk hotspots before migration.
