A troubleshooting guide for ChessClaw, a container-based coding-agent runtime, checks authentication, file mounts, resumed sessions, runtime errors, and service health.

Use it to investigate startup failures, missing files, authentication problems, broken sessions, and unhealthy ChessClaw services.

It narrows down whether a failure comes from the host system, the Linux container, saved session data, or the agent process.

How fmbenhassine/chessclaw configures Codex

Reuse

Borrowing it

Nothing to install: this file belongs to fmbenhassine/chessclaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/fmbenhassine/chessclaw/main/.codex/skills/debug/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/fmbenhassine/chessclaw

Made for: Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/fmbenhassine/chessclaw/debug/github.svg)](https://agentmods.dev/skills/fmbenhassine/chessclaw/debug)

Your own site

<a href="https://agentmods.dev/skills/fmbenhassine/chessclaw/debug"><img src="https://agentmods.dev/badge/skills/fmbenhassine/chessclaw/debug/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/fmbenhassine/chessclaw/debug"><img src="https://agentmods.dev/badge/skills/fmbenhassine/chessclaw/debug.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,039 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00026	$0.01039
Opus 5.5	$0.00010	$0.00416
Sonnet 5.5	$0.00005	$0.00208
Haiku 4.5	$0.00003	$0.00104

Measured 2mo ago against content hash 2bb1bf6376c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

debug 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.

.codex/skills/debug/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ChessClaw Debug (Codex Runtime)

Architecture Snapshot

Host (macOS)                           Container (Linux VM)
───────────────────────────────────────────────────────────
src/container-runner.ts                container/agent-runner/
    │                                      │
    │ spawns Apple Container runtime       │ runs Codex SDK
    │                                      │
    ├── assistant/  ─────────────────> /workspace/assistant
    ├── data/ipc/  ──────────────────> /workspace/ipc
    ├── data/session/.codex/  ───────> /home/node/.codex/
    └── data/env/env  ───────────────> /workspace/env-dir/env

Key Logs

Host logs: logs/chessclaw.log
Host error logs: logs/chessclaw.error.log
Per-run container logs: assistant/logs/container-*.log
Persistent Codex session/auth state: data/session/.codex/

Fast Health Check

launchctl list | grep chessclaw
container ls --format '{{.Names}} {{.Status}}' 2>/dev/null | grep chessclaw
grep -E 'ERROR|WARN|timeout|failed' logs/chessclaw.log | tail -30

Common Failures

1) "Codex process exited with code 1"

Check latest container log first:

ls -lt assistant/logs/container-*.log | head -5
cat assistant/logs/container-<timestamp>.log

Likely causes:

Missing auth (codex login not done, no API key in .env)
Runtime missing (container unavailable)
Session mount mismatch

2) Auth Not Available in Container

Supported auth paths:

Host Codex login copied into data/session/.codex/auth.json
API keys from .env allowlist (OPENAI_API_KEY, CODEX_API_KEY, plus optional OpenAI overrides)

Checks:

ls -la data/session/.codex/
grep -E '^(OPENAI_API_KEY|CODEX_API_KEY|OPENAI_BASE_URL|OPENAI_ORG_ID|OPENAI_PROJECT_ID)=' .env

Validate mounted env inside container:

echo '{}' | container run -i \
  --mount type=bind,source=$(pwd)/data/env,target=/workspace/env-dir,readonly \
  --entrypoint /bin/bash chessclaw-agent:latest \
  -c 'export $(cat /workspace/env-dir/env | xargs); env | grep -E "^(OPENAI_API_KEY|CODEX_API_KEY|OPENAI_BASE_URL|OPENAI_ORG_ID|OPENAI_PROJECT_ID)="'

Read the full file on GitHub · 125 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

agents/openai.yaml 204 B

Changes

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 · 125 lines · 26 tokens per session scan A 2bb1bf6376c8

Subscribe to this mod's changes

debug is a skill published in the GitHub repository fmbenhassine/chessclaw (5 stars, last pushed 7mo ago), licensed MIT. It adds 26 tokens to every session and 1,039 once invoked, about $0.0001 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 2026-08-31.

Containers Debugging DevOps and cloud ai-agent ai-assistant chess chess-ai

debug next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
debugfmbenhassine/chessclaw	Skill	5	7mo ago	MIT	A	26	Codex
customizesliamh11/Deus	Skill	51	2d ago	MIT	A	58	Claude Code
add-iron-proxynanocoai/nanoclaw	Skill	31k	yesterday	MIT	A	52	Claude Code
manage-mountsnanocoai/nanoclaw	Skill	31k	yesterday	MIT	A	47	Claude Code
nightly-audit-engineer-getting-startedmakecindy/cindy	Skill	9.3k	yesterday	Apache-2.0	A	46	Claude Code, Codex
nightly-audit-engineer-opsmakecindy/cindy	Skill	9.3k	yesterday	Apache-2.0	A	43	Claude Code, Codex
competition-container-runtimezhaoxuya520/reverse-skill	Skill	44k	1mo ago	MIT	A	109	Codex

chessclaw: Skill for Codex