telemetry-export

telemetry-export is a skill for Claude Code, Codex from Jarroslav/agentic-os. It costs 174 tokens per session (1,090 once invoked), scanned A, original, Apache-2.0.

A read-only exporter that converts selected pipeline-run records into redacted NDJSON, a line-by-line data format, for a project's configured observability service.

In plain words
What is it for?
Use it to send approved structural telemetry from a completed or active run to the observability backend declared by the project.
Why use it?
It makes run and approval-gate activity visible outside the workspace while excluding summaries, reasoning details, and artifact paths.

Skill for Claude CodeCodex

Installs and runs on its own, but its text points at files inside its plugin — anything it tells you to read at a ${CLAUDE_PLUGIN_ROOT} path is only there once the plugin is installed. Installing the plugin gets both.

Part of the agentic-sdlc plugin — 27 skills, 5 agents shipped together

Install

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.

agentmods
npx agentmods add skills/jarroslav/agentic-os/telemetry-export
Any agent
npx skills add Jarroslav/agentic-os --skill telemetry-export
Clone the repo
git clone --depth 1 https://github.com/Jarroslav/agentic-os

Made for: Claude Code, Codex.

Or install agentic-sdlc, the plugin that ships this one along with the rest of its 27 skills, 5 agents.

Wrote 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.

agentmods badge for telemetry-export

README.md
[![agentmods](https://agentmods.dev/badge/skills/jarroslav/agentic-os/telemetry-export.svg)](https://agentmods.dev/skills/jarroslav/agentic-os/telemetry-export)
Your own site
<a href="https://agentmods.dev/skills/jarroslav/agentic-os/telemetry-export"><img src="https://agentmods.dev/badge/skills/jarroslav/agentic-os/telemetry-export.svg" alt="Measured on agentmods" height="20"></a>
Per session 174 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,090 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00174 $0.01090
Opus 5 $0.00087 $0.00545
Sonnet 5 $0.00035 $0.00218
Haiku 4.5 $0.00017 $0.00109

Measured 4d ago against content hash 03738e3eceb1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

telemetry-export 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 4d 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.

plugins/agentic-sdlc/skills/telemetry-export/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

telemetry-export

Turns one run directory's append-only ledgers into a redacted NDJSON stream and pipes it to whatever backend the host project has declared. Read references/observability-adapters.md before touching this skill or its projector — it is the contract that keeps this a thin, replaceable adapter rather than a vendor client.

Deny-by-default. The projector script never forwards summary, verdict.rationale, prior_context, or an artifacts[] path. If a question can't be answered from structural/enum fields, this skill does not answer it. Widening the allowlist is a decision for observability-adapters.md, not an ad-hoc addition here.

Invocation

telemetry-export [run-dir]

run-dir defaults to the newest run under docs/superpowers/runs/ (same discovery ticket-sync uses). Typically invoked by an operator after a run completes, or wired into a host's own Stop hook — this skill never registers itself as a hook in plugin.json, so nothing exports by default.

Steps

  1. Read the flow file. Look for .agentic/guides/integration/telemetry-flow.md. If it is absent, or **Status** is not configured, stop — print nothing, append nothing. This is the same warn-and-continue posture as work-item-adapters.md.
  2. Resolve the run directory. Use the given path, or the newest meta.json under docs/superpowers/runs/ (maxdepth 2), matching ticket-sync's discovery exactly so the two adapters never disagree about "the current run."
  3. Run the projector:
    python3 "${CLAUDE_PLUGIN_ROOT}/scripts/export-run-telemetry.py" \
      --run <run-dir> --extra-fields "<Extra fields, if declared>"
    
    Capture stdout (the NDJSON batch) and the CURSOR {...} line the script writes to stderr.
  4. Nothing new? If stdout is empty, stop without writing any event — a receipt for zero new lines would itself become the next telemetry.* line to exclude, for no benefit.
  5. Invoke the declared exporter, piping the NDJSON batch to its stdin, under a timeout (120s, matching ticket-sync). Never let a nonzero exit or a hang block turn-end.
  6. Append the outcome to the run's events.jsonl:
    • success → telemetry.export_receipt, data = the CURSOR object plus {"line_count": <lines sent>}.
    • failure/timeout → telemetry.export_warning, data = {"reason": "<short reason>"}. The CURSOR offsets are not advanced on failure, so the same batch is retried next invocation.

Read the full file on GitHub · 93 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 4d ago First seen · 93 lines · 174 tokens per session scan A 03738e3eceb1

Subscribe to this mod's changes

telemetry-export is a skill published in the GitHub repository Jarroslav/agentic-os (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 174 tokens to every session and 1,090 once invoked, about $0.0009 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 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens