Observe TraceCAUTION
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Overview
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
ef7d4f0535e5OBSERVED · 2026-09-26What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: observe-trace description: Trace agent execution by collecting spans and building a trace tree for a task argument-hint: "<task-id>" allowed-tools: mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__memory_list mcp__plugin_ruflo-core_ruflo__agentdb_semantic-route mcp__plugin_ruflo-core_ruflo__agentdb_context-synthesize mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search Bash --- # Observe Trace Collect distributed trace spans for a task and build a visual trace tree showing the execution flow, timing, and bottlenecks. ## When to use When you need to understand how a task was executed across agents -- which spans ran, how long each took, where bottlenecks occurred, and how agents coordinated. ## Steps 1. **Collect spans** -- call `mcp__plugin_ruflo-core_ruflo__memory_search --namespace observability` (or `memory_list`) to retrieve all spans matching the `<task-id>`. The `memory_*` tool family routes by namespace; `agentdb_hierarchical-*` does NOT (it routes by tier `working|episodic|semantic`), so use `memory_*` here. See [ruflo-agentdb ADR-0001 §"Namespace convention"](../../../ruflo-agentdb/docs/adrs/0001-agentdb-optimization.md). 2. **Build trace tree** -- organize spans into a parent-child hierarchy using `parentSpanId` references, with the root span at the top 3. **Calculate timing** -- for each span, compute duration (endTime - startTime), and identify the critical path (longest chain of sequential spans) 4. **Identify bottlenecks** -- flag spans where duration exceeds the p95 for that operation type, or where gaps between spans suggest idle time 5. **Synthesize** -- call `mcp__plugin_ruflo-core_ruflo__agentdb_context-synthesize` to combine span metadata into a narrative summary of the execution flow 6. **Report** -- display the trace tree with: span name, agent, duration, status (OK/ERROR), and bottleneck flag; include total trace duration and critical path duration ## CLI alternative ```bash npx @claude-flow/cli@latest memory search --query "trace spans for task TASK_ID" --namespace observability ```
Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (4)
crates
plugin/agents
plugin/commands
plugin/skills
Gates applied: no_behavioural_pass.
ef7d4f0535e5full audit observations/trust-audit/skill/ruvnet__observe-trace.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-09-26 | ef7d4f0535e5 | CAUTION | B | 89 | first audit |
Questions
What does the Observe Trace skill do?
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Is Observe Trace safe to install?
With care. The audit graded it B (89/100) and found 4 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Observe Trace access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (ef7d4f0535e5), read on 2026-09-26. The repository is watched, and a new audit runs when it changes — this is the first audit.