openclaw-superpowers

Handles PR review feedback by fetching comments, grouping issues, fixing one group at a time, and verifying before replies.

Reviews whether a skill will trigger reliably, guide useful behavior, avoid overlap, and produce testable outcomes.

Diagnoses OpenClaw provider, fallback, channel, MCP, and gateway config issues with read-only scans and stateful summaries.

Tracks required validation gates, records pass/fail/waived results, and reports readiness before task completion.

YAML-based delegation grant ledger — issues, validates, and tracks scoped permission grants for sub-agent expansions with token budgets and auto-expiry.

Walks the memory DAG to recall detailed context on demand — query, expand, and assemble cited answers from hierarchical summaries without re-reading raw transcripts.

Imports OpenClaw session transcripts into a local SQLite database with FTS5 full-text search — the agent never loses a message, even after context compaction or session rollover.

Validates memory summary DAGs for structural integrity — detects orphan nodes, circular references, token inflation, broken lineage, and stale summaries that corrupt the agent's memory.

Monitors memory compaction for failures and enforces a three-level fallback chain — normal, aggressive, deterministic truncation — ensuring compaction always makes forward progress.

Scores how well the current context represents the full conversation — detects information blind spots, stale summaries, and coverage gaps that cause the agent to forget critical details.

Detects oversized files that would blow the context window, generates structural exploration summaries, and stores compact references — preventing a single paste from consuming the entire budget.

Builds hierarchical summary DAGs from MEMORY.md with depth-aware prompts — leaf summaries preserve detail, higher depths condense to durable arcs, preventing information loss during compaction.

Parses OpenClaw's flat MEMORY.md into a structured knowledge graph — detects duplicates, contradictions, and stale entries, then builds a compressed memory digest optimized for system prompt injection.

Monitors MCP server connections for health, latency, and availability — detects stale connections, timeouts, and unreachable servers before they cause silent tool failures.

Analyzes skill descriptions for trigger quality — scores clarity, keyword density, and specificity, then suggests rewrites that improve discovery accuracy.

Scans OpenClaw config directories for plaintext API keys, tokens, and secrets in unencrypted files — flags exposure risks and suggests encryption or environment variable migration.

Searches Reddit communities for OpenClaw pain points and feature requests, scores them by signal strength, and writes a prioritized PROPOSALS.md for you to review and act on.

Validates that a skill's companion scripts declare their OS and binary dependencies correctly, and checks whether those dependencies are actually present on the current machine.

Enforces per-skill execution budgets for scheduled cron skills — pauses runaway skills that exceed their token or wall-clock budget before they drain your monthly API allowance.

Detects skill name shadowing and description-overlap conflicts that cause OpenClaw to trigger the wrong skill or silently ignore one when two skills compete for the same intent.

Checks whether installed skills are compatible with the current OpenClaw version and flags skills that require runtime features not present in your installation.

Manages named skill profiles (loadouts) so you can switch between focused skill sets and prevent system prompt bloat from too many active skills.

Scores a skill's description field against sample user prompts to predict whether OpenClaw will correctly trigger it — before you publish or install.

Weekly audit of all installed third-party and community skills for malicious patterns, stale credentials, and drift from last-known-good state.

Diagnoses silent skill discovery failures — YAML parse errors, path violations, schema mismatches — so broken skills don't disappear without a trace.

Writes a resumé card at session end so context survives channel switches — and auto-injects it as a primer at the start of any new session

Audits cron-scheduled skills for session mode, token waste, and cost efficiency — and enforces concise-reply constraints on cron contexts

Triggers a secondary verification pass for any agent output containing factual claims, numbers, dates, or named entities before the output is acted on

Crawls a new codebase to infer stack, conventions, and key invariants, then generates a PROJECT.md context file for the agent

Orchestrates multiple parallel OpenClaw agents — tracks health, detects timeouts, reconciles conflicting outputs, and manages structured handoffs

Detects drift or tampering in SOUL.md, AGENTS.md, MEMORY.md, and other critical workspace files and prompts recovery

Detects infinite tool-call retry loops from deterministic errors and breaks them before they drain context or budget

Intercepts irreversible or destructive actions and requires explicit user confirmation before proceeding

Tracks cumulative API spend against a monthly budget and pauses non-essential automations when thresholds are crossed

Detects and intercepts prompt injection attempts in external content before the agent acts on them

Syncs agent daily memory and MEMORY.md to an Obsidian vault so notes are human-browsable. Use nightly or on demand.

Reviews a ClawHub skill's source code for security risks before installation. Use before installing any new skill.

Proactively monitors estimated token usage during long sessions and triggers context-window-management before overflow, not after. Use at the start of any session expected to last more than 30 minutes.

Compiles a daily morning briefing from active tasks, priorities, and pending items. Use at the start of each working day.

Audits which skills have access to secrets, flags stale or unrotated credentials, and prompts rotation. Use weekly to keep credentials clean.