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 dash0hq/agent-skills --skill otel-ottlgit clone --depth 1 https://github.com/dash0hq/agent-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/dash0hq/agent-skills/otel-ottl)<a href="https://agentmods.dev/skills/dash0hq/agent-skills/otel-ottl"><img src="https://agentmods.dev/badge/skills/dash0hq/agent-skills/otel-ottl/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/dash0hq/agent-skills/otel-ottl"><img src="https://agentmods.dev/badge/skills/dash0hq/agent-skills/otel-ottl.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Prompt Injection · line 69 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- low Excessive Agency · line 13 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 | $0.00081 | $0.01450 |
| Opus 5.5 | $0.00032 | $0.00580 |
| Sonnet 5.5 | $0.00016 | $0.00290 |
| Haiku 4.5 | $0.00008 | $0.00145 |
Grade A, and why
otel-ottl scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenTelemetry Transformation Language (OTTL)
Components that use OTTL
OTTL is not limited to the transform and filter processors. Processors (transform, filter, tailsampling, logdedup) and connectors (routing, count, sum, signaltometrics) accept OTTL expressions. See components for the full list with use cases.
OTTL syntax
Path expressions
Navigate telemetry data using dot notation:
span.name
span.attributes["http.method"]
resource.attributes["service.name"]
Contexts (first path segment): resource, scope, span, spanevent, metric, datapoint, log.
Enumerations
Use int64 constants for enumeration fields:
span.status.code == STATUS_CODE_ERROR
span.kind == SPAN_KIND_SERVER
Operators
Assignment: = — Comparison: ==, !=, >, <, >=, <= — Logical: and, or, not
Functions
Converters (uppercase, return values):
ToUpperCase(span.attributes["http.request.method"])
Substring(log.body.string, 0, 1024)
Concat(["prefix", span.attributes["request.id"]], "-")
IsMatch(metric.name, "^k8s\\..*$")
Editors (lowercase, modify data in-place):
set(span.attributes["region"], "us-east-1")
delete_key(resource.attributes, "internal.key")
limit(log.attributes, 10, [])
See function-reference for the full list of editors and converters.
Conditional statements
Use where to apply transformations conditionally:
span.attributes["db.statement"] = "REDACTED" where resource.attributes["service.name"] == "accounting"
Nil checks
Use nil for absence checking (not null):
resource.attributes["service.name"] != nil
Validation workflow
- Validate config syntax — run
otelcol validate --config=config.yamlto catch compilation errors before starting the Collector. - Test with the debug exporter — route transformed telemetry to a
debugexporter and inspect the output:
exporters:
debug:
verbosity: detailed
service:
pipelines:
traces:
receivers: [otlp]
processors: [transform]
exporters: [debug] # swap in production exporter once validated
What ships with it
6 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.
- 7d ago Changed · +3 lines 1c9c022f2946
- 2mo ago First seen · 173 lines · 81 tokens per session scan A 15396bd298ae
otel-ottl is a skill published in the GitHub repository dash0hq/agent-skills (98 stars, last pushed 8d ago), licensed Apache-2.0. It adds 81 tokens to every session and 1,450 once invoked, about $0.0003 per session on Opus 5.5. 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.
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