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 commands/milindgaharwar/fettle/ops-reviewgit clone --depth 1 https://github.com/MilindGaharwar/fettleWrote 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/commands/milindgaharwar/fettle/ops-review)<a href="https://agentmods.dev/commands/milindgaharwar/fettle/ops-review"><img src="https://agentmods.dev/badge/commands/milindgaharwar/fettle/ops-review.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00008 | $0.01360 |
| Opus 5 | $0.00004 | $0.00680 |
| Sonnet 5 | $0.00002 | $0.00272 |
| Haiku 4.5 | $0.00001 | $0.00136 |
Grade A, and why
ops-review 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 5d 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.
This is a copy
95% identical to fettle-ops-review — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Run a Production Readiness Review (PRR) checklist for the target service.
Procedure
-
Determine service name. Use
$ARGUMENTSif provided. If not provided, derive the name from the current working directory basename. -
Create output directory. Create
.fettle/in the current working directory if it doesn't already exist:mkdir -p .fettle -
Copy the ops-review template. Locate the bundled template and write it to
.fettle/ops-review-{name}.md, replacing{SERVICE_NAME}with the service name and{DATE}with today's date:python3 -c "from fettle._resources import templates_dir; print(templates_dir() / 'ops-review.md')"Read the file at the printed path.
-
Run automated checks on the codebase. Use Grep and Glob to scan for operational readiness indicators and pre-fill the template sections:
Deployment (Section 1):
- Search for systemd service files: Glob for
*.servicefiles in the project or/etc/systemd/. - Search for Docker configs: Glob for
Dockerfile,docker-compose.yml,docker-compose.yaml,compose.yml,compose.yaml. - Search for
SIGTERM,signal.signal,signal_handler,GracefulExit,shutdownpatterns in Python files. - Search for hardcoded secrets: patterns like
password=,api_key=,secret=followed by string literals (not env var lookups). - If service file or Docker config found, mark deployment item as [PASS]. Otherwise [FAIL].
- If graceful shutdown handling found, mark that item as [PASS]. Otherwise [?].
- If hardcoded secrets found, mark secrets item as [FAIL] with file:line. Otherwise [PASS].
Monitoring (Section 2):
- Search for health check patterns:
health,heartbeat,ping,/healthz,/healthin route definitions or scripts. - Search for watchdog patterns:
watchdog,WatchdogSec,sd_notify,systemd.watchdog. - If health check found, mark as [PASS]. Otherwise [FAIL].
- If watchdog found, mark as [PASS]. Otherwise [?].
Alerting (Section 3):
- Search for alerting/notification patterns:
telegram,slack,send_message,smtp,email,alert,notify,webhookin source files. - If notification mechanism found, mark as [PASS] with details. Otherwise [FAIL].
- Mark dedup/severity and escalation items as [?] for manual review.
Resilience (Section 4):
- Search for timeout patterns:
httpx.Timeout,timeout=,socket.settimeout,aiohttp.*timeout,requests.*timeout. - Search for retry patterns:
tenacity,@retry,backoff,retry_on,max_retries,Retry(. - Search for circuit breaker patterns:
circuit_breaker,CircuitBreaker,pybreaker. - If timeouts found, mark timeout item as [PASS]. Otherwise [FAIL].
- If retry with backoff found, mark retry item as [PASS]. Otherwise [FAIL].
- If circuit breaker found, mark as [PASS]. Otherwise [?].
Data Safety (Section 5):
- Search for backup patterns:
backup,dump,pg_dump,sqlite3 .backup,shutil.copy. - Search for atomic write patterns:
tempfile,os.rename,os.replace,Path.replace. - If backup mechanism found, mark as [PASS]. Otherwise [?].
- If atomic writes found, mark as [PASS]. Otherwise [?].
Capacity (Section 6):
- Search for resource limit patterns:
ulimit,MemoryLimit,LimitNOFILE,--memory,mem_limit. - Search for log rotation:
RotatingFileHandler,TimedRotatingFileHandler,logrotate,maxBytes. - If log rotation found, mark as [PASS]. Otherwise [FAIL].
- Mark remaining items as [?].
Security (Section 7):
- Search for secrets in source: hardcoded API keys, passwords, tokens (string literals assigned to variables named
key,secret,password,token). - Search for
os.getenvorenvironfor secret loading (good practice). - Search for input validation:
pydantic,validator,validate,sanitize. - If secrets loaded from env, mark as [PASS]. If hardcoded, mark as [FAIL] with file:line.
- If input validation found, mark as [PASS]. Otherwise [?].
- Search for systemd service files: Glob for
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.
- 5d ago First seen · 98 lines · 8 tokens per session scan A 78c250c23338
ops-review is a command published in the GitHub repository MilindGaharwar/fettle (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 8 tokens to every session and 1,360 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to fettle-ops-review, differing in 9 lines, and is treated as a copy.
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