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.
npx agentmods add skills/rand/cc-polymath/discover-distributednpx skills add rand/cc-polymath --skill discover-distributedgit clone --depth 1 https://github.com/rand/cc-polymathWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00035 | $0.00640 |
| Opus 5 | $0.00017 | $0.00320 |
| Sonnet 5 | $0.00007 | $0.00128 |
| Haiku 4.5 | $0.00003 | $0.00064 |
Grade A, and why
discover-distributed 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.
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Distributed Systems & Realtime Skills Discovery
When This Skill Activates
- Consensus algorithms (RAFT, Paxos)
- CAP theorem, consistency models
- CRDTs and eventual consistency
- Vector clocks, logical clocks, causality
- Replication, partitioning, sharding
- Distributed locks and leader election
- Gossip protocols, probabilistic data structures
- WebSockets, Server-Sent Events, streaming
- Pub/sub, push notifications, live updates
Available Skills (21 total)
Distributed Systems (17 skills)
- cap-theorem - CAP theorem, consistency vs availability trade-offs
- consensus-raft - RAFT consensus, leader election, log replication
- consensus-paxos - Paxos consensus, Basic/Multi-Paxos
- crdt-fundamentals - Conflict-free Replicated Data Types basics
- crdt-types - Specific CRDT implementations (LWW, OR-Set, RGA)
- dotted-version-vectors - Compact causality, sibling management
- interval-tree-clocks - Dynamic causality, fork/join
- vector-clocks - Causality tracking, happens-before
- logical-clocks - Lamport clocks, logical time
- eventual-consistency - Consistency levels, quorums, BASE
- conflict-resolution - LWW, multi-value, semantic resolution
- replication-strategies - Primary-backup, multi-primary, chain, quorum
- partitioning-sharding - Hash/range/consistent hashing, rebalancing
- distributed-locks - Redlock, ZooKeeper locks, fencing tokens
- leader-election - Bully, ring, consensus-based election
- gossip-protocols - Epidemic protocols, failure detection
- probabilistic-data-structures - Bloom filters, HyperLogLog, Count-Min Sketch
Realtime (4 skills)
- websocket-implementation - WebSocket connections, protocols, scaling
- server-sent-events - SSE for server-to-client streaming
- pubsub-patterns - Publish/subscribe architectures
- realtime-sync - Real-time data synchronization
Load Full Category Details
Read ../distributed-systems/INDEX.md Read ../realtime/INDEX.md
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.
- 2d ago First seen · 60 lines · 35 tokens per session scan A baa3cebd4e72
discover-distributed is a skill published in the GitHub repository rand/cc-polymath (136 stars, last pushed 6mo ago), licensed MIT. It adds 35 tokens to every session and 640 once invoked, about $0.0002 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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