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02dd0fd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 | # AGENTS.md — writing InfraBench tasks
This file is for coding agents and humans who author **benchmark tasks**. It is intentionally scoped to task packages. The evaluation harness (Syscraft) remains closed-source for now.
## Non-negotiables
1. Every task is a directory with `task.toml`, `instruction.md`, `environment/`, and `tests/`.
2. The verifier is the source of truth: write `reward.txt` or `reward.json` under `/logs/verifier/`.
3. Do not bake secrets, API keys, or private CloudLab credentials into the task tree.
4. Prefer structured checks with `scored: true|false` over a single opaque score.
## Layout
```
task/
├── task.toml
├── instruction.md
├── environment/ # Dockerfile OR setup.sh [+ bootstrap.sh]
├── solution/ # optional solve.sh
└── tests/ # test.sh (+ helpers)
```
Canonical examples in this repo:
| Path | Role |
|------|------|
| `tasks/hello-world` | Minimal Docker task — start here |
| `tasks/ipmi-node-power-recovery` | L1 / Easy / BM Cluster |
| `tasks/cassandra-nic-split-brain` | L2 / Medium / BM Cluster |
| `tasks/cassandra-dead-node-removal` | L3 / Medium / BM Cluster |
| `tasks/vm-ceph-bootstrap` | L3 / Hard / VM cluster |
| `tasks/db-wal-recovery` | L4 / Hard / Container |
## Environment types
| `environment.type` | When to use |
|--------------------|-------------|
| `docker` | Userspace / container-local work |
| `vm` | Kernel modules, block devices, single-node systems work |
| `vm-cluster` | Multi-node distributed systems |
| `cloudlab` | Bare-metal / IPMI / real NIC scenarios |
VM hosts need Linux + KVM. CloudLab tasks need a profile and site access — document that in the PR, do not commit credentials.
## Verifier patterns
Scalar:
```bash
#!/bin/bash
set -euo pipefail
# ... assertions ...
echo 1.0 > /logs/verifier/reward.txt
```
Structured (preferred for InfraBench paper-style tasks):
```bash
#!/bin/bash
set -euo pipefail
mkdir -p /logs/verifier
python3 - <<'PY'
import json, pathlib
checks = [
{"name": "service up", "passed": True, "scored": False},
{"name": "data consistent", "passed": False, "scored": True},
]
reward = 1.0 if all(c["passed"] for c in checks) else 0.0
pathlib.Path("/logs/verifier/reward.json").write_text(
json.dumps({"reward": reward, "checks": checks})
)
PY
```
## Writing `instruction.md`
- State the **goal** and **success criteria** the agent can observe.
- Include operational constraints (do not destroy X, preserve Y).
- Do not paste the root-cause spoilers unless the task is explicitly a known-fault drill.
- Keep it short enough that an agent can act; put long background in comments inside `environment/` scripts if needed.
## PR expectations
See [CONTRIBUTING.md](CONTRIBUTING.md) for the human checklist. Agents should open a PR that:
1. Adds `tasks/<name>/` with a complete package
2. Mentions layer (L1–L4), difficulty, and backend in the PR body
3. Links related paper sections when the task is a HotInfra / InfraBench scenario
## Out of scope here
- Implementing new agent adapters
- Changing the Syscraft CLI or environment factory
- Publishing private evaluation traces
Those stay in the closed Syscraft tree until the runtime is released.
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