ACP Debug

Run a headless ACP JSON-RPC session against any registered kandev agent (or an arbitrary command), record every wire frame to a JSONL file, and summarize the handshake. Backed by the acpdbg binary at apps/backend/bin/acpdbg.

When to use this skill

• "what models does auggie advertise"
• "probe claude-acp" / "probe all agents" / "run the matrix"
• "debug why copilot-acp isn't starting"
• "what does a session/new response actually look like for X"
• "try this prompt against auggie with mode=ask"
• "reproduce session/load for session <id> against claude-acp"
• User mentions inspecting raw ACP wire payloads or a JSONL file from an earlier run

Before anything else: build the binary if missing

bash
test -x apps/backend/bin/acpdbg || make -C apps/backend build-acpdbg

Sub-commands

text
acpdbg list                                            # enumerate registered ACP agents
acpdbg probe <agent>                                   # initialize + session/new + close
acpdbg probe --exec "<cmd> [args...]"                  # probe an arbitrary binary not in the registry
acpdbg mcp-probe <agent>                                # inject a temporary MCP sentinel into session/new
acpdbg prompt --prompt "..." [--model M] [--mode M] <agent>
acpdbg session-load --session-id <id> <agent>
acpdbg matrix                                          # probe every ACP agent in parallel

> Flags MUST come before the positional <agent>. The CLI uses Go's stdlib > flag parser, which stops at the first non-flag token — so any flag placed > after <agent> is silently ignored (probe/matrix, e.g. a dropped > --timeout) or errors (prompt → --prompt is required). Always write > acpdbg prompt --prompt "..." --timeout 240s <agent>, not acpdbg prompt <agent> --prompt ....

Shared flags (apply to every sub-command):

• --out DIR — JSONL output directory (default ./acp-debug/)
• --file PATH — exact JSONL path, overrides --out
• --timeout DUR — overall run timeout (default 30s)
• --workdir PATH — child cwd (default: fresh /tmp/kandev-acpdbg-<pid>-*)
• --verbose — mirror frames to stderr
• --stderr — capture child stderr into the JSONL

Steps

Create a task for each step below and mark them as completed as you go.

1. Pick the sub-command that matches the user's intent

• "what models does X have" / "does X support modes" → acpdbg probe X
• "test a prompt against X" → acpdbg prompt --prompt "..." X
• "compare all agents" / "run the matrix" → acpdbg matrix
• "resume session <id>" → acpdbg session-load --session-id <id> X
• "did this agent attach the injected MCP server" → acpdbg mcp-probe X
• "try this random binary" → acpdbg probe --exec "path/to/bin --acp"

2. Run the command

Always capture stdout — it contains the JSONL file path (and for matrix, the summary table and matrix-summary.json path).

bash
apps/backend/bin/acpdbg probe --timeout 45s auggie

For matrix, prefer --timeout 60s so npx-spawned agents have time to cold-start.

For Claude ACP, the generated default workdir is an absolute temporary directory and is sent as the ACP cwd; no --workdir flag is required. If you override it, supply an existing absolute directory (for example, run mkdir -p /tmp/kandev-acpdbg-claude before passing that path to --workdir). An empty cwd can cause Claude to reject session/new; confirm the cwd in the recorded request frame before diagnosing a provider failure.

3. Read the JSONL file

The JSONL schema is:

| direction | Meaning | Extra fields | |---|---|---| | meta | acpdbg-generated marker | event (start / close), meta (map with agent, command, workdir for start; exit_code, reason for close) | | sent | Frame written to child's stdin | frame (JSON-RPC request or reply) | | received | Frame read from child's stdout | frame (JSON-RPC request, response, or notification) | | stderr | Child stderr line (only when --stderr) | line |

Entries are strictly chronological. Each line is a single JSON object terminated by \n.

Useful jq recipes:

bash
# Full initialize response
jq -c 'select(.direction == "received" and .frame.id == 1)' acp-debug/<file>.jsonl

# Full session/new response (models, modes, auth)
jq '.frame.result' acp-debug/<file>.jsonl | head -50

# Just the models advertised
jq -r 'select(.direction == "received") | .frame.result.models.availableModels[]?.modelId' acp-debug/<file>.jsonl

# Close event (exit code + reason)
jq -c 'select(.direction == "meta" and .event == "close")' acp-debug/<file>.jsonl

# All agent-initiated requests we auto-replied to
jq -c 'select(.direction == "received" and .frame.method and .frame.id)' acp-debug/<file>.jsonl

4. Summarize for the user

Give a concise markdown summary: agent, protocol version, models found (with currentModelId), modes found (with currentModeId), auth methods, any errors, and the JSONL path for deeper inspection. Example:

text
**auggie** (protocol v1, auggie 0.20.1)
Models (11): claude-sonnet-4-6 (current), claude-opus-4-6, gpt-5-4, …
Modes  (2):  default (current), ask
Auth methods: (none advertised)
JSONL: acp-debug/auggie-probe-20260409-183104.jsonl

5. If something looks wrong, walk the frames

Common failure modes:

| Symptom | Likely cause | Next step | |---|---|---| | meta close exit_code: 127 immediately | child binary not installed | Check which <cmd>; suggest install command | | meta close before any received frame | child crashed on startup | Re-run with --stderr to capture the error | | initialize response has populated authMethods but session/new fails | auth required | Surface the auth method ids; suggest setting env var / running CLI login | | session/new hangs (context deadline exceeded) | agent waiting on an unanswered agent-initiated request | Check JSONL for received frames with method + id that we auto-replied to with method not found — the agent may be retrying | | Response has no models / modes fields | agent doesn't expose them over ACP | Not a bug — document the gap |

Re-run with --stderr whenever the child exits before the handshake completes; the stderr lines land in the JSONL and usually contain the root cause.

For mcp-probe, distinguish sentinel_delivered (the agent accepted the session/new configuration) from initialize_observed and tools_list_observed (the temporary endpoint received MCP traffic). An unobserved result is intentionally not a generic agent failure: a provider can attach lazily or ignore the supplied transport. Sentinel metadata has only opaque connection IDs and timestamps; the explicit acpdbg JSONL still contains raw ACP frames and must stay a developer-only artifact.

6. For matrix, read matrix-summary.json too

bash
jq '.' acp-debug/matrix-summary.json

One entry per agent with status, models_count, current_model_id, auth_methods_count, duration_ms, and jsonl (the full per-agent JSONL file). Useful for answering "which agents succeeded / failed / need auth" without re-reading every JSONL.

What this skill does NOT do

• No interactive UI. For ad-hoc side-by-side comparison, read the matrix-summary.json output or build a separate visualization tool on top of the JSONL.
• No permission-request handling beyond canned replies. Agent-initiated requests (fs/read_text_file, session/request_permission, etc.) are answered with -32601 method not found so the session doesn't hang. If you need to exercise a real permission flow, use the full kandev backend.
• No automatic credential bootstrap. The child inherits the parent shell's env; if an auth check fails the skill reports which methods were advertised and lets the user fix their local credentials.
• No Docker / remote executor support. Standalone subprocess only — same as a manual auggie --acp invocation.