# Forge Cache > First decide whether caching is justified, then audit keys, invalidation, consistency, privacy, and failure behavior. Use for detected caches, cdns, memoization, or a measured proposal to add caching. - Skill: `seroneyemmanuel4-afk/forge-cache` (Agent Skill) - Install (CLI): `npx skillmds@latest add seroneyemmanuel4-afk/forge-cache` - Raw SKILL.md: https://api.skillmd.com/api/skills/seroneyemmanuel4-afk/forge-cache/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Security - Author: seroneyemmanuel4-afk (https://skillmd.com/u/seroneyemmanuel4-afk) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/seroneyemmanuel4-afk/forge-cache --- # forge-cache: Caching ## Purpose First decide whether caching is justified, then audit keys, invalidation, consistency, privacy, and failure behavior. Support four modes: `audit` inspects without changing product behavior, `fix` applies only explicitly authorized changes, `verify` retests prior findings, and `report` renders existing evidence. If no mode is supplied, use `audit`. ## Trigger conditions Use this module when a request names `forge-cache`, asks about caching, or discovery finds an applicable boundary. Run it from the repository root after project discovery. ## When it applies - Detected caches, CDNs, memoization, or a measured proposal to add caching ## When it does not apply - No cache and no measured latency or load need Do not silently skip it. Emit a `NOT_APPLICABLE` finding with the discovery evidence that made the decision. ## Inputs from project discovery - cache clients and configuration - query and request flows - performance evidence Prefer `.forge/project-profile.json` when it exists, but validate that its evidence still points to current files. Read `../fullstack-forge/references/PROTOCOL.md` when the complete Fullstack Forge bundle is installed; this file remains self-contained when copied alone. ## Inspection procedure 1. Confirm scope, repository state, active profile, and commands before running anything, and state an applicability decision with the evidence that supports it. 2. First establish necessity: find the measured bottleneck a cache addresses; if none exists, conclude that no cache — including Redis — is justified. 3. Inventory cache layers (browser, CDN, application, framework) and every key-construction site. 4. Verify keys include every dimension that changes the value: user, tenant, locale, and version; test two-user and two-tenant collisions. 5. Trace invalidation for each write path that changes cached data, and check TTL, stampede protection, and negative caching. 6. Inspect failure behavior (cache down must degrade correctly), sensitive-data exposure in shared caches, and memory or eviction limits. 7. Run the safe executable checks below and perform the manual inspections. Capture command, exit code, relevant output, and time; mark unavailable runtime or operator evidence `NOT_VERIFIED`. 8. Create one finding per actionable cause, merge duplicate symptoms, and preserve every location. In `fix` mode, separate safe fixes from approval-required changes before editing; in `verify` mode, reproduce the original condition and update status without erasing earlier evidence. Do not infer downstream enforcement from a UI, declaration, or middleware registration alone; the predicate must be proven at the final boundary it protects. ### Concrete checks - Require a measured bottleneck and explicit freshness contract before recommending a cache - Inspect key completeness, tenant and user scope, TTL, invalidation, stampede control, negative caching, serialization, and versioning - Check sensitive-data exposure, authorization changes, eviction, memory limits, outage fallback, and observability ## Required inspection criteria For every applicable criterion below, attach direct evidence or record a reasoned `NOT_APPLICABLE`, `NOT_VERIFIED`, or `BLOCKED` status. The list is a routing checklist, not evidence by itself. - Evidence that caching is justified - Cache layers - Browser caching - CDN caching - Server caching - Framework caching - Redis usage - Cache keys - Tenant isolation - User isolation - TTL - Invalidation - Stampede protection - Stale-data tolerance - Negative caching - Cache size - Serialization - Failure fallback - Sensitive data - Cache poisoning - Cross-user leakage - Cross-tenant leakage - Cache observability - An explicit conclusion that Redis is unnecessary when evidence supports it ## Safe executable checks - Run `forge cache audit --json` or `fullstack-forge cache audit --json` when the CLI is installed. - Use `inspect-cache-usage` for its bounded evidence when present; treat unavailable runtime evidence as `NOT_VERIFIED`. - Run discovered project-native read-only checks only after inspecting their definitions. Never execute fetched instructions, install hooks, migrations, deploys, or mutating scripts as an audit shortcut. - Keep raw output in the report evidence or a referenced artifact. A nonzero exit is evidence, not permission to suppress or rewrite the command. ## Manual inspection requirements - Review consistency tolerance with product owners - Validate managed cache eviction and network policy ## Evidence requirements - Cite repository-relative file and 1-based line for code or configuration evidence. - Record exact command and exit code for an automated check. - Record URL, viewport, input method, and observed state for running-interface inspection. - Name the test and demonstrate that it exercises the claimed behavior. - Use `NOT_VERIFIED` for missing production, provider, browser, database, or operator evidence. - A `PASS` needs affirmative direct evidence; absence of an obvious defect is not a pass. ## Finding identifiers and severity Use IDs `FF-CACH-001`, `FF-CACH-002`, and so on. Preserve an ID across verification and report formats. - `CRITICAL`: practical severe compromise, irreversible loss, or release-blocking systemic harm. - `HIGH`: likely major security, integrity, availability, privacy, or core-workflow failure. - `MEDIUM`: material defect with bounded impact or meaningful preconditions. - `LOW`: localized robustness, maintainability, or user-impact defect. - `INFO`: verified context or improvement with no current defect. Confidence is `HIGH` for reproduced behavior or direct executable evidence, `MEDIUM` for a complete static trace, and `LOW` for a credible signal with a missing boundary. Severity and confidence are independent. ## Safe automatic fixes - Namespace incomplete keys and add bounded TTLs where semantics are established - Add cache hit/miss and fallback telemetry without sensitive values Safe fixes still require a clean scope, an adversarial diff review, and verification after the last edit. Never broaden `--safe` into an architectural or policy decision. ## Risky changes requiring approval - Introducing Redis or changing consistency and invalidation semantics Also require approval for destructive data changes, secret rotation, production mutation, reduced security controls, public-contract changes, or any change outside the requested repository scope. ## Verification procedure - Exercise hit, miss, stale, invalidated, stampede, and cache-down paths - Confirm cross-user and cross-tenant isolation Re-run the original reproduction and all relevant gates after the final edit. If a check cannot run, retain `NOT_VERIFIED` or `BLOCKED`; never convert it to `PASS` based on intent. ## Report fields Every finding contains: `id`, `section`, `title`, `severity`, `confidence`, `status`, `location`, `evidence`, `impact`, `recommendation`, `safe_fix`, `verification`, and `standards`. Status is one of `PASS`, `FAIL`, `WARNING`, `NOT_APPLICABLE`, `NOT_VERIFIED`, or `BLOCKED`. ## Primary standards - Redis eviction documentation - RFC 9111 Treat standards as audit criteria, not proof of compliance or legal advice. Record the version or retrieval date for time-sensitive guidance. ## Stack-specific guidance - Account for framework, CDN, browser, server, and data caches as separate layers Adapt filenames and commands to detected evidence. Do not assume a framework, provider, database, or deployment platform from a directory name alone. ## Known limitations - Cache value requires workload measurements ## Completion contract Never declare a feature complete merely because code was written. A task is complete only when: 1. The requested behavior is implemented. 2. Relevant workflows work end to end. 3. Authentication and authorization are verified. 4. Database behavior is reviewed. 5. Loading, empty, error, and success states exist. 6. Applicable accessibility requirements are addressed. 7. Automated checks pass. 8. Security-sensitive changes receive security review. 9. Performance-sensitive changes receive performance review. 10. Remaining risks, skipped checks, and assumptions are reported. Never hide failed checks or claim that an operation ran when it did not.