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 julianobarbosa/claude-code-skills --skill tempogit clone --depth 1 https://github.com/julianobarbosa/claude-code-skillsWrote 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/julianobarbosa/claude-code-skills/tempo)<a href="https://agentmods.dev/skills/julianobarbosa/claude-code-skills/tempo"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/tempo/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/julianobarbosa/claude-code-skills/tempo"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/tempo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
SkillSpector: 1 finding, up to low
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- low Privilege Escalation · line 375 Skill requests more permissions than appear necessary for its stated functionality. Review if elevated access is justified.Fix: Request only the minimum permissions required. Document why each permission is needed. Remove broad permissions like '*' or 'all'.
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 | $0.00061 | $0.03217 |
| Opus 5 | $0.00030 | $0.01608 |
| Sonnet 5 | $0.00012 | $0.00643 |
| Haiku 4.5 | $0.00006 | $0.00322 |
Grade A, and why
tempo scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
# curl -H "X-Scope-OrgID: tenant-1" http://tempo:3200/api/traces/<traceID> How it starts
The opening of the file, as written. The whole thing — 520 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Grafana Tempo Skill
Comprehensive guide for Grafana Tempo - the cost-effective, high-scale distributed tracing backend designed for OpenTelemetry.
What is Tempo?
Tempo is a high-scale distributed tracing backend that:
- Trace-ID lookup model - No indexing of every attribute, keeps ingestion fast and storage costs low
- OpenTelemetry native - First-class support for OTLP protocol
- Object storage backed - Stores traces in affordable S3, GCS, or Azure Blob Storage
- TraceQL query language - Powerful query language inspired by PromQL and LogQL
- Apache Parquet format - 5-10x less data pulled per query vs legacy formats
- Multi-tenant by default - Built-in tenant isolation via
X-Scope-OrgIDheader
Architecture Overview
Core Components
| Component | Purpose |
|---|---|
| Distributor | Entry point for trace data, routes to ingesters via consistent hash ring |
| Ingester | Buffers traces in memory, creates Parquet blocks, flushes to storage |
| Query Frontend | Query orchestration, shards blockID space, coordinates queriers |
| Querier | Locates traces in ingesters or storage using bloom filters |
| Compactor | Compresses blocks, deduplicates data, manages retention |
| Metrics Generator | Optional: derives metrics from traces |
Data Flow
Write Path:
Applications → Collector → Distributor → Ingester → Object Storage
↓
Consistent Hash Ring
(routes by traceID)
Read Path:
Query Request → Query Frontend → Queriers → Ingesters (recent data)
↓ ↓
Block Sharding Object Storage (historical data)
↓ ↓
Parallel Querier Work Bloom Filters + Indexes
Deployment Modes
1. Monolithic Mode (-target=all)
- All components in single process
- Best for: Local testing, small-scale deployments
- Cannot horizontally scale component count
- Scale by increasing replicas
What ships with it
3 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.
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.
- 8d ago First seen · 520 lines · 61 tokens per session scan A 535cd0c75381
tempo is a skill published in the GitHub repository julianobarbosa/claude-code-skills (10 stars, last pushed 16d ago), licensed MIT. It adds 61 tokens to every session and 3,217 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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