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 ivanshamaev/de-agent-skills --skill aiops_autonomous_incident_responsegit clone --depth 1 https://github.com/ivanshamaev/de-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/ivanshamaev/de-agent-skills/aiops_autonomous_incident_response)<a href="https://agentmods.dev/skills/ivanshamaev/de-agent-skills/aiops_autonomous_incident_response"><img src="https://agentmods.dev/badge/skills/ivanshamaev/de-agent-skills/aiops_autonomous_incident_response/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/ivanshamaev/de-agent-skills/aiops_autonomous_incident_response"><img src="https://agentmods.dev/badge/skills/ivanshamaev/de-agent-skills/aiops_autonomous_incident_response.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00099 | $0.03360 |
| Opus 5 | $0.00049 | $0.01680 |
| Sonnet 5 | $0.00020 | $0.00672 |
| Haiku 4.5 | $0.00010 | $0.00336 |
Grade A, and why
aiops-autonomous-incident-response scanned grade A with 2 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 12d 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.
resp = requests.get( Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
result = subprocess.run(cmd, capture_output=True, text=True, timeout=30) The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 12d ago First seen · 390 lines · 99 tokens per session scan A f0d1da222713
aiops-autonomous-incident-response is a skill published in the GitHub repository ivanshamaev/de-agent-skills (18 stars, last pushed 3mo ago), with no licence file. It adds 99 tokens to every session and 3,360 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
agentsop-prompt-history-inspect
Tool skill — the first move in any LM-debugging session: dump the actual rendered prompt the framework sent to the model, before changing anything else. Activate when an LM call produced an unexpected output (wrong answer, schema violation, refusal, truncation, cost spike, latency spike, infinite loop, "model got…
python-run
Run and debug Python scripts in the project. Use when the user says "run python", "execute this script", "debug this py file", or wants to run/modify a .py file. Handles dependency checks, linting, execution, and error analysis.
systematic-debugging
4-phase root cause debugging: understand bugs before fixing.
simplify-code
Sequential 3-lens cleanup of recent code changes.
python-debugpy
Debug Python: pdb REPL + debugpy remote (DAP).
node-inspect-debugger
Debug Node.js via --inspect + Chrome DevTools Protocol.