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 skills/elastic/agent-skills/edot-python-migratenpx skills add elastic/agent-skills --skill edot-python-migrategit clone --depth 1 https://github.com/elastic/agent-skillsWhat 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 | $0.00042 | $0.00563 |
| Opus 5 | $0.00021 | $0.00282 |
| Sonnet 5 | $0.00008 | $0.00113 |
| Haiku 4.5 | $0.00004 | $0.00056 |
Grade A, and why
observability-edot-python-migrate 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 3d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- observability-edot-python-migrate — 100% identical, 0 lines differ
What it actually says
EDOT Python Migration
Read the migration guide before making changes:
Guidelines
- Remove ALL classic APM references:
elastic-apmfrom requirements,ElasticAPM(app)/elasticapm.contrib.*from application code,app.config['ELASTIC_APM']blocks, and allELASTIC_APM_*env vars - Install
elastic-opentelemetryvia pip (add torequirements.txtor equivalent) - Run
edot-bootstrap --action=installduring image build to install auto-instrumentation packages for detected libraries - Wrap the application entrypoint with
opentelemetry-instrument— e.g.opentelemetry-instrument gunicorn app:app. Without this, no telemetry is collected - Set exactly three required environment variables:
OTEL_SERVICE_NAME(replacesELASTIC_APM_SERVICE_NAME)OTEL_EXPORTER_OTLP_ENDPOINT— must be the managed OTLP endpoint or EDOT Collector URL. Do NOT reuse the oldELASTIC_APM_SERVER_URLvalue. Never use an APM Server URL (noapm-server, no:8200, no/intake/v2/events)OTEL_EXPORTER_OTLP_HEADERS—"Authorization=ApiKey <key>"or"Authorization=Bearer <token>"(replacesELASTIC_APM_SECRET_TOKEN)
- Do NOT set
OTEL_TRACES_EXPORTER,OTEL_METRICS_EXPORTER, orOTEL_LOGS_EXPORTER— the defaults are already correct - Never run both classic
elastic-apmand EDOT on the same application
Examples
See the EDOT Python migration guide for complete examples.
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.
- 3d ago First seen · 43 lines · 42 tokens per session scan A 867f92710a08
observability-edot-python-migrate is a skill published in the GitHub repository elastic/agent-skills (564 stars, last pushed 6d ago), licensed Apache-2.0. It adds 42 tokens to every session and 563 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 2026-08-30.
Other skills, from other repositories
bump-dependency
Bumps a Python package dependency across Home Assistant Core integrations, regenerates core requirement files, runs verification tests and prek lint, and prepares a pull request with proper release/compare links.
biopython
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use…
marimo-pair
Work inside the user's live marimo notebook from the code editor: run Python in the same kernel the user does, inspect live notebook state, and commit durable notebook changes through code mode. Use whenever you create, analyze, or improve the user's marimo notebook.
adk-style
Python style and codebase conventions for ADK (Agent Development Kit): private-by-default file visibility, imports, type hints, Pydantic v2 models, formatting, docstrings, logging, async I/O, file and test layout, and unit test structure. Use when writing or editing ADK source or tests, deciding whether a new file or…
coding
编写并运行 Python 代码,验证脚本逻辑和输出。.
ax-python-agent
Use when writing Python code with axllm for agents, child delegation, tools, MCP, citations, persistent playbook learning, stage instructions, runtime state, final typed responses, and direct-respond executor skipping.