# Whoami

> >

- **Type:** Skill
- **Install:** `agentstack add skill-jazz1x-honne-whoami`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [jazz1x](https://agentstack.voostack.com/s/jazz1x)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [jazz1x](https://github.com/jazz1x)
- **Source:** https://github.com/jazz1x/honne/tree/main/skills/whoami
- **Website:** https://skills.sh/jazz1x/honne

## Install

```sh
agentstack add skill-jazz1x-honne-whoami
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# honne — 7-Axis Self-Observation

**When invoked, execute Step 1 through Step 6 in order immediately. Do not summarize the skill or ask what the user wants — invocation itself is the request. Start by asking the Step 1 question.**

## Step 1: Scope + Locale HITL

Invoke `AskUserQuestion` tool with two questions in a single call:

(a) Scope:
- `question`: "Scan scope?"
- `options`: `[{"label":"repo","description":"current project only"},{"label":"global","description":"all projects"}]`

(b) Locale:
- `question`: "Locale?"
- `options`: `[{"label":"ko","description":"한국어"},{"label":"en","description":"English"},{"label":"jp","description":"日本語"}]`

Set `SCOPE` and `LOCALE` from the two replies. Do not use plain-text Q&A — arrow-key selection only.

## Step 2: Scan
Run: `bash "${CLAUDE_PLUGIN_ROOT}/scripts/honne" scan --scope "$SCOPE" --cache ".honne/cache/scan.json"`
Capture `RUN_ID` from result: `RUN_ID=$(python3 -c 'import json; print(json.load(open(".honne/cache/scan.json"))["run_id"])')`
Non-zero exit → output stdout+stderr verbatim to user, stop. Do not interpret exit codes.

## Step 3: Rejection reframe filter (skip candidate)
For each axis, run: `bash "${CLAUDE_PLUGIN_ROOT}/scripts/honne" query --base-dir ".honne" --tag "" --type rejection --scope "$SCOPE"`
Before Step 4 records each axis, pipe the candidate through `bash "${CLAUDE_PLUGIN_ROOT}/scripts/honne" axis validate --text "$candidate" --locale "$LOCALE" --skip-if-overlaps "$rejection_text"` — exit 3 = overlap, skip and log "reframed". 모든 변수는 큰따옴표 인용 필수(공백·특수문자 안전). LLM 호출 없음.

**Recording rejections**: If the user explicitly says "n" or rejects a candidate claim for any axis, record it as a rejection so Step 3 can filter it in future runs:
```bash
bash "${CLAUDE_PLUGIN_ROOT}/scripts/honne" record claim \
  --type rejection --axis "$axis" --scope "$SCOPE" \
  --claim "$CANDIDATE" --run-id "$RUN_ID" \
  --out ".honne/assets/rejections.jsonl"
```

## Step 4: Per-axis autonomous record

For each axis from `axis list`, run each command separately — do NOT bundle into a script file or use heredocs:

```bash
bash "${CLAUDE_PLUGIN_ROOT}/scripts/honne" axis run "$axis" \
  --locale "$LOCALE" --scan .honne/cache/scan.json > ".honne/cache/axis-${axis}.json"
```

```bash
python3 -c "import json,sys; d=json.load(open('.honne/cache/axis-${axis}.json')); sys.exit(0 if d.get('insufficient_evidence') else 1)"
```
If exit 0 → skip this axis (insufficient evidence), continue to next.

```bash
python3 -c "import json; print(json.load(open('.honne/cache/axis-${axis}.json'))['candidate_claim'])"
```
Capture stdout as `CANDIDATE`.

```bash
bash "${CLAUDE_PLUGIN_ROOT}/scripts/honne" record claim \
  --type claim --axis "$axis" --scope "$SCOPE" \
  --claim "$CANDIDATE" --run-id "$RUN_ID" \
  --quotes-file ".honne/cache/axis-${axis}.json" \
  --out ".honne/assets/claims.jsonl"
```

**HARD RULE** — execution constraints (test suite enforces):
- Each `bash` block runs as a direct shell command — no heredocs (`",
  "claims": {
    "": {"claim": "", "evidence_count": } for each recorded axis,
    "": null for each axis that had insufficient evidence
  }
}
```

Do NOT use `python3 ` — stage a live debate between the two personas

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [jazz1x](https://github.com/jazz1x)
- **Source:** [jazz1x/honne](https://github.com/jazz1x/honne)
- **License:** MIT
- **Homepage:** https://skills.sh/jazz1x/honne

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-jazz1x-honne-whoami
- Seller: https://agentstack.voostack.com/s/jazz1x
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.