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 DVNghiem/FlowDeck --skill telemetry-stewardgit clone --depth 1 https://github.com/DVNghiem/FlowDeckWrote 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/dvnghiem/flowdeck/telemetry-steward)<a href="https://agentmods.dev/skills/dvnghiem/flowdeck/telemetry-steward"><img src="https://agentmods.dev/badge/skills/dvnghiem/flowdeck/telemetry-steward.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.01928 |
| Opus 5 | $0.00014 | $0.00964 |
| Sonnet 5 | $0.00006 | $0.00386 |
| Haiku 4.5 | $0.00003 | $0.00193 |
Grade A, and why
telemetry-steward 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 7d 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 — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Telemetry Steward
FlowDeck generates a steady stream of operational signals — context compactions, agent handoffs, recorded decisions, readiness scores. Telemetry Steward captures these as structured, append-only events so operators can observe patterns, diagnose drift, and validate improvement over time.
Purpose
Telemetry answers three questions:
- Context health — Are we pruning, compacting, or checkpointing effectively? Are token savings trending up or down?
- Agent performance — Which agents are fastest? Which fail most often? Where does routing latency spike?
- Decision quality — Are decisions backed by evidence? Is confidence calibrated to actual risk?
It is not a control plane. It does not trigger actions. It exists purely for observability, retrospection, and baseline-setting.
Storage
All events are written to ~/.fd-plan/<slug>/.codebase/TELEMETRY.jsonl.
- One JSON object per line. No outer array.
- Append only. Never rewrite the file in place.
- Each line is self-contained and independently parseable.
- Invalid lines are skipped during read, not repaired.
Event Schema
Every event has a top-level type field. All other fields are type-specific.
context_action
Recorded when the context steward prunes, compacts, or checkpoints.
{
"type": "context_action",
"action": "prune",
"tokens_before": 12400,
"tokens_after": 8200,
"timestamp": "2026-06-11T09:23:17.000Z"
}
| Field | Type | Description |
|---|---|---|
action |
string | "prune", "compact", or "checkpoint" |
tokens_before |
integer | Context size in tokens before the action |
tokens_after |
integer | Context size in tokens after the action |
timestamp |
ISO 8601 | When the action occurred |
agent_routing
Recorded when the orchestrator dispatches work to an agent.
{
"type": "agent_routing",
"agent": "backend-coder",
"category": "implementation",
"task_type": "bugfix",
"duration_ms": 14520,
"success": true,
"timestamp": "2026-06-11T09:45:02.000Z"
}
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.
- 7d ago First seen · 192 lines · 28 tokens per session scan A 3e971f12df78
telemetry-steward is a skill published in the GitHub repository DVNghiem/FlowDeck (24 stars, last pushed 18d ago), licensed MIT. It adds 28 tokens to every session and 1,928 once invoked, about $0.0001 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.
Other skills, from other repositories
oh-my-opencode-slim
Configure and improve oh-my-opencode-slim for the current user. Use when users want to tune agents, models, prompts, custom agents, skills, MCPs, presets, or plugin behavior. Also use when recurring workflow friction suggests a safe config or prompt improvement.
clonedeps
Clone important project dependency source code into an ignored local workspace so OpenCode can inspect library internals. Use when the user asks to clone dependencies, inspect dependency/source internals, understand SDK/framework behavior from source, debug library implementation details, or make core dependency repos…
codemap
Generate comprehensive hierarchical codemaps for UNFAMILIAR repositories. Expensive operation - only use when explicitly asked for codebase documentation or initial repository mapping.
deepwork
High-cost orchestrator workflow for large, high-risk, multi-phase coding efforts with meaningful dependencies and review gates. Do not activate for routine multi-file changes.
worktrees
Manage Git worktrees as OMO safe isolated coding lanes for complex, risky, or parallel work.
simplify
Simplifies code for clarity without changing behavior. Use for readability, maintainability, and complexity reduction after behavior is understood.