Borrowing it
Nothing to install: this file belongs to msradam/semley. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/msradam/semley/main/AGENTS.mdgit clone --depth 1 https://github.com/msradam/semleyWrote 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/instructions/msradam/semley/agents-md)<a href="https://agentmods.dev/instructions/msradam/semley/agents-md"><img src="https://agentmods.dev/badge/instructions/msradam/semley/agents-md/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/instructions/msradam/semley/agents-md"><img src="https://agentmods.dev/badge/instructions/msradam/semley/agents-md.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 | $0.01044 | $0.01044 |
| Opus 5.5 | $0.00418 | $0.00418 |
| Sonnet 5.5 | $0.00209 | $0.00209 |
| Haiku 4.5 | $0.00104 | $0.00104 |
Grade A, and why
semley AGENTS.md 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 2mo 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance for coding agents (and people) working in this repo. Semley is an autonomous
SRE investigation agent: a language model drives an investigation through one governed
step tool, a Burr state machine gates which transitions are legal, and conclusions are
verified against real evidence in code the model cannot reach. README.md has the full
design; this file is the fast path to running it.
Setup
uv sync # needs uv and Python 3.12+
printf 'OPENAI_API_KEY=sk-...\n' > .env # any OpenAI-compatible key; default model gpt-5.4
The agent is vendor-agnostic (it speaks the OpenAI chat-completions protocol). For a
non-OpenAI vendor, also set OPENAI_BASE_URL (e.g. https://openrouter.ai/api/v1) and
SEMLEY_MODEL (e.g. anthropic/claude-sonnet-5).
Verify it works (no key, no infrastructure)
make check # 7 fast deterministic tests; no model, no infra
To see a real end-to-end investigation without a key or any infrastructure, read
recordings/host-investigation.txt.
Run the agent
uv run semley --surface host # needs a key; the host demo also needs OrbStack
Describe an incident in plain language, confirm the proposed target and scope, and it
drives the investigation to a grounded conclusion. /playbook saves the recorded
Ansible reads as a standard playbook, /quit exits, Tab completes the commands.
Demo targets
Each command below stands up its own target (printing clear status) and then runs the agent. These create real local infrastructure, so run them deliberately, not as a quick check:
| Command | What it does | Requires |
|---|---|---|
make demo-host |
inject a service fault on web1, investigate, restore |
OrbStack |
make demo-cluster |
kind cluster + a workload in ImagePullBackOff, investigate | Docker, kind, kubectl |
make demo-telemetry |
Prometheus + a down scrape target, investigate | Docker, kind, kubectl |
make demo-localhost |
investigate this machine | nothing extra |
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.
- 2mo ago First seen · 93 lines · 1,044 tokens per session scan A 073441b81945
semley AGENTS.md is an instructions file published in the GitHub repository msradam/semley (0 stars, last pushed 4mo ago), licensed MIT. It adds 1,044 tokens to every session, about $0.0042 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 2026-09-01.
semley AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| semley AGENTS.mdmsradam/semley | Instructions file | 0 | 4mo ago | MIT | A | 1,044 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |