Cost ConversationCAUTION
🌊 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 · 2026-09-25What 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: cost-conversation
description: Per-conversation cost view — list every session in cost-tracking with started-at, message count, top model, and total cost
argument-hint: ""
allowed-tools: Bash
---
# Cost per Conversation
`cost-report` and `cost-optimize` aggregate by **agent** and **model**. This skill aggregates by **conversation (session)** — a different lens that surfaces *which conversations cost the most*. Useful for retrospectives ("which sessions ran long on Opus?") and for evaluating whether a given project's session pattern is sustainable.
## When to use
- After multiple sessions, to see total spend per conversation.
- Before scoping a long session, to understand typical cost-per-conversation.
- For per-project rollups via `CONV_NAMESPACE=cost-tracking-<project>`.
## Steps
1. **Run the script** from anywhere:
```bash
node plugins/ruflo-cost-tracker/scripts/conversation.mjs
```
Optional env:
- `CONV_FORMAT=json` — emit JSON instead of markdown
- `CONV_LIMIT=20` — show only the most recent N conversations
- `CONV_NAMESPACE=cost-tracking` — override target namespace
2. **Inspect the markdown table** — total cost across all conversations, per-tier rollup, then a per-session table (started-at, sessionId prefix, message count, top model, cost).
## Cross-references
- `cost-track` — the producer that populates `cost-tracking:session-*`
- `cost-report` — same data, per-agent / per-model lens
- `cost-trend` — drift across bench runs (different axis: corpus runs vs conversations)
- `cost-budget-check` — sums across conversations to evaluate the budget thresholdTrust 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__cost-conversation.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-09-25 | ef7d4f0535e5 | CAUTION | B | 89 | first audit |
Questions
What does the Cost Conversation 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 Cost Conversation 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 Cost Conversation 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 2026-09-25. The repository is watched, and a new audit runs when it changes — this is the first audit.