skill-system-situational-awareness
Use when generating first-person sensory status narratives from raw system observations so abstract system state can be rendered as an embodied world description for humans, resumes, reflections, or compaction checkpoints.
What this skill does
# Skill System Situational Awareness
Generate first-person sensory status narratives from raw system observations — turns abstract system state (bundle IDs, percentages, status tables) into embodied first-person-present-tense description (walls, screens, clocks, desk tools, weather, colleagues).
## When to use
- Status reports to humans
- Session resume briefings
- Reflection prompts after intense execution
- Compaction checkpoints where raw telemetry needs to feel cognitively real
## Dependency boundary
- Reads existing `Work/.tkt/scripts/hermes-*` sensors via subprocess.
- Reads `Work/.tkt/inbox/<role>/inbox.md` and `Work/.tkt/roadmap.yaml`.
- Does **not** replicate sensor logic.
- Fails open when a sensor is missing or down by rendering `(sensor offline)`.
## Usage
```bash
python3 "<this-skill-dir>/scripts/world_scan.py"
python3 "<this-skill-dir>/scripts/world_scan.py" --role sisyphus --mode clinical
python3 "<this-skill-dir>/scripts/world_scan.py" --bundle-file "<this-skill-dir>/examples/sample_observation_bundle.json"
```
## Behavior
- Collects an observation bundle from existing Hermes sensor scripts and inbox / roadmap files.
- Renders the same facts through four tone modes defined in `tone.md`.
- Defaults to `phenomenological` mode and 300–500 word markdown output.
- Emits the markdown body first and a JSON status object on the last stdout line.
```skill-manifest
{
"schema_version": "2.0",
"id": "skill-system-situational-awareness",
"version": "0.1.0",
"capabilities": ["situational-world-scan"],
"effects": ["fs.read", "fs.write", "proc.exec"],
"operations": {
"world-scan": {
"description": "Generate a sensory status narrative from existing Hermes sensor outputs and role inbox state.",
"input": {
"role": {"type": "string", "required": false, "default": "hermes", "description": "Narrative framing role: hermes or sisyphus"},
"mode": {"type": "string", "required": false, "default": "phenomenological", "description": "Tone mode from tone.md"},
"work_root": {"type": "string", "required": false, "description": "Root Work directory containing .tkt/"},
"bundle_file": {"type": "string", "required": false, "description": "Optional JSON/YAML observation bundle override"},
"output": {"type": "string", "required": false, "description": "Optional markdown output path"}
},
"output": {
"description": "World-scan generation result",
"fields": {"status": "ok | error", "role": "string", "mode": "string", "word_count": "integer", "output": "string | null"}
},
"entrypoints": {
"unix": ["python3", "{skill_dir}/scripts/world_scan.py", "--role", "{role}", "--mode", "{mode}", "--work-root", "{work_root}", "--bundle-file", "{bundle_file}", "--output", "{output}"],
"windows": ["python", "{skill_dir}/scripts/world_scan.py", "--role", "{role}", "--mode", "{mode}", "--work-root", "{work_root}", "--bundle-file", "{bundle_file}", "--output", "{output}"]
}
}
},
"assets": {
"examples_dir": "examples/",
"test_fixtures_dir": "tests/fixtures/"
},
"source_transparency": {
"generated_at_build": true,
"github_url": "https://github.com/arthur0824hao/skills",
"commit_ref": "<auto>",
"loc": "<auto>",
"test_coverage_pct": "<auto>"
},
"stdout_contract": {
"last_line_json": true
}
}
```
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