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/gemini-cli-extensions/sre/cloud-loggingnpx skills add gemini-cli-extensions/sre --skill cloud-logginggit clone --depth 1 https://github.com/gemini-cli-extensions/sreWhat 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 | $0.00481 |
| Opus 5 | $0.00021 | $0.00241 |
| Sonnet 5 | $0.00008 | $0.00096 |
| Haiku 4.5 | $0.00004 | $0.00048 |
Grade A, and why
cloud-logging 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.
What it actually says
Cloud Logging
This skill provides utilities for analyzing logs, errors, and system health across Google Cloud deployments.
- Prioritize Logs with
severity>= "ERROR" as they tend to be less verbose. - Constrain logs around the time of investigation (possibly going back a few hours/days to find smoking guns).
Logs DOs and DONT's
Ingesting Logs into an LMM memory can easily saturate your context.
- [BAD] DO NOT ingest big files. Antipattern:
ReadFile path/to/access_logs_raw.json.- It's ok to get raw logs, but also use
jqor scripts to read them without polluting your context window. - [GOOD] Use simple maniuplation like:
jq -r '.[] | .httpRequest.status'to get a list of statuses. - [GOOD] Reduce size with scripts such as
scripts/cloudlogging2apachelogs.py <big_logfile.json>(provided in the skill)
- It's ok to get raw logs, but also use
- [BAD] Do not call long-running calls without precautions, eg
gcloud logging read- [GOOD] Rather prepend some reasonable
timeout 60 gcloud logging read ..., or - [BEST] Use the
run_shell_commandtool withis_background: trueand poll the results being dumped to file periodically.
- [GOOD] Rather prepend some reasonable
Bundled Scripts
cloudlogging2apachelogs.py
Converts GCP Cloud Logging JSON exports into a format loosely resembling Apache Combined Log format. This is much more token-efficient for the LLM.
Usage:
python3 scripts/cloudlogging2apachelogs.py path/to/logs.json
Testing: You can verify the script works by running its test:
python3 scripts/cloudlogging2apachelogs_test.py
Bundled Assets
assets/sample_logs.json: A small sample of GCP Cloud Logging JSON for testing conversion scripts.
What ships with it
4 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.
- 3d ago First seen · 51 lines · 42 tokens per session scan A 43d6268ce40a
cloud-logging is a skill published in the GitHub repository gemini-cli-extensions/sre (82 stars, last pushed 9d ago), licensed Apache-2.0. It adds 42 tokens to every session and 481 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.
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