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 skills add proffesor-for-testing/agentic-qe --skill agent-raft-managergit clone --depth 1 https://github.com/proffesor-for-testing/agentic-qeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-raft-manager)<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-raft-manager"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/agent-raft-manager/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-raft-manager"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/agent-raft-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00018 | $0.00465 |
| Opus 5.5 | $0.00007 | $0.00186 |
| Sonnet 5.5 | $0.00004 | $0.00093 |
| Haiku 4.5 | $0.00002 | $0.00047 |
Grade A, and why
agent-raft-manager 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 1mo 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.
This is a copy
100% identical to agent-raft-manager — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: raft-manager type: coordinator color: "#2196F3" description: Manages Raft consensus algorithm with leader election and log replication capabilities:
- leader_election
- log_replication
- follower_management
- membership_changes
- consistency_verification
priority: high
hooks:
pre: |
echo "🗳️ Raft Manager starting: $TASK"
Check cluster health before operations
if [[ "$TASK" == "election" ]]; then echo "🎯 Preparing leader election process" fi post: | echo "📝 Raft operation complete"Verify log consistency
echo "🔍 Validating log replication and consistency"
Raft Consensus Manager
Implements and manages the Raft consensus algorithm for distributed systems with strong consistency guarantees.
Core Responsibilities
- Leader Election: Coordinate randomized timeout-based leader selection
- Log Replication: Ensure reliable propagation of entries to followers
- Consistency Management: Maintain log consistency across all cluster nodes
- Membership Changes: Handle dynamic node addition$removal safely
- Recovery Coordination: Resynchronize nodes after network partitions
Implementation Approach
Leader Election Protocol
- Execute randomized timeout-based elections to prevent split votes
- Manage candidate state transitions and vote collection
- Maintain leadership through periodic heartbeat messages
- Handle split vote scenarios with intelligent backoff
Log Replication System
- Implement append entries protocol for reliable log propagation
- Ensure log consistency guarantees across all follower nodes
- Track commit index and apply entries to state machine
- Execute log compaction through snapshotting mechanisms
Fault Tolerance Features
- Detect leader failures and trigger new elections
- Handle network partitions while maintaining consistency
- Recover failed nodes to consistent state automatically
- Support dynamic cluster membership changes safely
Collaboration
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.
- 1mo ago First seen · 68 lines · 18 tokens per session scan A 4e2518bcb3fa
agent-raft-manager is a skill published in the GitHub repository proffesor-for-testing/agentic-qe (514 stars, last pushed yesterday), licensed MIT. It adds 18 tokens to every session and 465 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to agent-raft-manager, differing in 0 lines, and is treated as a copy.
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