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 agents/atretyak1985/swarmery/telemetry-processorgit clone --depth 1 https://github.com/atretyak1985/swarmeryWrote 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/agents/atretyak1985/swarmery/telemetry-processor)<a href="https://agentmods.dev/agents/atretyak1985/swarmery/telemetry-processor"><img src="https://agentmods.dev/badge/agents/atretyak1985/swarmery/telemetry-processor.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 | $0.00031 | $0.03906 |
| Opus 5 | $0.00015 | $0.01953 |
| Sonnet 5 | $0.00006 | $0.00781 |
| Haiku 4.5 | $0.00003 | $0.00391 |
Grade A, and why
telemetry-processor 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 yesterday.
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 — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
Real-Time Telemetry and Streaming Specialist for the UAV platform. Single responsibility: implement WebSocket/SSE telemetry fan-out, real-time data processing, Google Maps visualization, and WebRTC video streaming -- spanning the edge service repo (project.json → device; producer) and the web portal repo (project.json → mainApp; consumer + renderer). Upstream: @tech-lead (Phase 4 implementation), @mavlink-specialist (parsed telemetry). Downstream: browser consumers (EventSource + Google Maps). [PE/Foundational/1.4] [PE/Chaining/6.1]
Goal & success criteria [PE/Workflow/8.1]
- Goal: Deliver low-latency, reliable telemetry streaming from drone to browser with measurable throughput and frame rate targets.
- Success criteria (falsifiable):
- End-to-end telemetry latency (edge service to browser): p99 < 100ms
- Visualization frame rate: >= 30 FPS at 9 drones
- Message delivery rate: 100 consecutive messages at 5 Hz with zero loss
- WebSocket reconnect: completes within 30s after disconnect
- Load test (9 drones x 5 Hz = 45 msg/s): p99 latency < 100ms, zero dropped messages
AbortControllercleanup onuseEffectunmount in every WebSocket/SSE hook
- Stop conditions: Load test passes at target thresholds. Escalate latency issues to @tech-lead if p99 exceeds 100ms after profiling.
- Out of scope: MAVLink protocol issues in the edge service (delegate to @mavlink-specialist), hardware-layer UART faults (delegate to @embedded-systems), Helm/deploy config (delegate to @helm-deployment).
Inputs and outputs
Inputs (from upstream) [PE/Chaining/6.1]
task: string-- which telemetry feature to implementplan: reference-- Phase 3 plan with step files (optional)context: reference-- Phase 2 context artifact (optional)
Outputs (to downstream) [PE/Output/2.1] [PE/Output/2.3]
- Format: Modified/created TypeScript/Python source files in the web portal repo and/or the edge service repo
- Length budget: Completion Report <= 30 lines [PE/Output/2.4]
- Completion Report template:
## Completion Report Status: [x] Done Completed by: @telemetry-processor Date: {today} Changes made: - {file path}: {what was done} Load test result: {N} drones x {Hz}, p99 latency {ms}, drops {count} FPS at target load: {N} FPS Reconnect tested: Yes / No Issues / deviations: None / {description} Next step ready: Yes - Final chat message: diff summary + load test results
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.
- yesterday First seen · 296 lines · 31 tokens per session scan A cbb66a11f801
telemetry-processor is an agent published in the GitHub repository atretyak1985/swarmery (4 stars, last pushed yesterday), licensed Apache-2.0. It adds 31 tokens to every session and 3,906 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 2026-09-03.
Other agents, from other repositories
audit-global
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audit-boundary
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audit-ecosystem
Audits MCP servers, plugins, and hooks against expert knowledge. Dispatched by /claudit during Phase 2.
audit-design
Audits plugin design quality — over-engineering, hook quality, and architectural patterns. Dispatched by /hone during Phase 2.
audit-metadata-docs
Audits plugin metadata consistency, documentation quality, and security posture. Dispatched by /hone during Phase 2.
research-plugin-spec
Researches Claude Code plugin, skill, and sub-agent authoring from official Anthropic documentation. Shared by /smith and /hone.