Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add CHANGGELY/claude_codex_gemini_mem --skill troubleshootgit clone --depth 1 https://github.com/CHANGGELY/claude_codex_gemini_memWrote 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.
[](https://agentmods.dev/skills/changgely/claude_codex_gemini_mem/troubleshoot)<a href="https://agentmods.dev/skills/changgely/claude_codex_gemini_mem/troubleshoot"><img src="https://agentmods.dev/badge/skills/changgely/claude_codex_gemini_mem/troubleshoot/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.
<a href="https://agentmods.dev/skills/changgely/claude_codex_gemini_mem/troubleshoot"><img src="https://agentmods.dev/badge/skills/changgely/claude_codex_gemini_mem/troubleshoot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00035 | $0.00748 |
| Opus 5.5 | $0.00014 | $0.00299 |
| Sonnet 5.5 | $0.00007 | $0.00150 |
| Haiku 4.5 | $0.00003 | $0.00075 |
Grade A, and why
troubleshoot scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s http://127.0.0.1:37777/health The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
6 files 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.
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.
- 1mo ago First seen · 90 lines · 35 tokens per session scan A 79ad3716645f
troubleshoot is a skill published in the GitHub repository CHANGGELY/claude_codex_gemini_mem (6 stars, last pushed 19d ago), with no licence file. It adds 35 tokens to every session and 748 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
doctor
Health probe across the worker, embedder, summarizer, queue, vector index, schema, cross-AI wiring and plugin install (cache and live versions). Use when the user types /captain-memo:doctor or when something seems wrong.
wtf-happened
Retrieve a distilled timeline of the current troubleshooting incident and generate a runbook skeleton. Returns a concise summary by default, or the full untruncated timeline on request.
wtf-now
Add a manual observation to the WTF flight recorder journal. The entry is stored as a crafted (intentional) record. Classification of the entry's action type is handled by the background classifier — do not attempt to infer it here.
wtf
Launch the WTF flight recorder for a new troubleshooting incident. Archives any prior incident, prompts for an optional title, then puts Claude into flight recorder mode where significant observations, theories, and corrective actions are journaled automatically.
memory-doctor
Run Locus environment health check — 10-point diagnostic covering Node.js version, storage backend, FTS5, DB permissions, git availability, and more. Use when troubleshooting plugin issues or checking setup.
api-linter
MCP definition linter rules reference. Use when bun run lint:mcp or bun run devcheck reports a lint error or warning (format-parity, schema-is-object, name-format, server-json-, etc.) and you need to understand the rule, its severity, and how to fix it. Every rule ID the linter emits has an entry in this doc.