git clone --depth 1 https://github.com/aiskillstore/marketplace /tmp/insforge-debug && cp -r /tmp/insforge-debug/pending/insforge/insforge-debug ~/.claude/skills/insforge-debugSKILL.md
# InsForge Debug
Diagnose problems in InsForge projects by combining the backend's observability primitives — logs, metrics, db-health, advisor, policies, metadata, error objects, deploy state, and AI assist. This skill provides:
1. A reference per **debug primitive** (one observability surface each — under `references/`)
2. **Symptom Recipes** (below) that name the primitive sequence for known reactive symptoms and proactive audits
**Always use `npx -y @insforge/cli`** — never install the CLI globally.
## Fastest Path: AI-Assisted Triage
When the user gives a concrete description (error message, failing URL, HTTP status), hand it to the InsForge debug agent. Unlike the other primitives, this one returns suggestions, not just observations — verify the diagnosis against the primitives it cites before acting on it.
```bash
npx -y @insforge/cli diagnose --ai "<issue description>"
```
See [references/ai-assisted.md](references/ai-assisted.md) for when to use this first vs when to skip, and how to verify the output.
## Debug Primitives
Each primitive is one independently-queryable observability surface backed by a distinct underlying data source. Real diagnoses are compositions of primitives.
All commands run via `npx -y @insforge/cli ...`. The `(command)` shown next to each primitive is the actual CLI command — primitive names are concept labels, **not** CLI subcommand names (e.g., "DB health" is `diagnose db`, not `diagnose db-health`; "Policies" is `db policies`, not `diagnose policies`).
| Primitive (command) | What you see | Reference |
|---------------------|-------------|-----------|
| **Logs** (`logs <source>`; `diagnose logs` for cross-source aggregate) | Time-stream of events from 5 backend sources (`insforge.logs` / `postgREST.logs` / `postgres.logs` / `function.logs` / `function-deploy.logs`) | [references/logs.md](references/logs.md) |
| **Metrics** (`diagnose metrics`) | EC2 instance time-series (CPU / memory / disk / network) over `1h` / `6h` / `24h` / `7d` | [references/metrics.md](references/metrics.md) |
| **DB health** (`diagnose db`) | Current Postgres state via 7 named checks (`connections` / `slow-queries` / `bloat` / `size` / `index-usage` / `locks` / `cache-hit`) | [references/db-health.md](references/db-health.md) |
| **Advisor** (`diagnose advisor --json`) | Static-scan issues across 3 categories (`security` / `performance` / `health`) with `ruleId` / `affectedObject` / `recommendation` | [references/advisor.md](references/advisor.md) |
| **Policies** (`db policies`) | Active RLS rules from `pg_policies` (USING / WITH CHECK per cmd per role) — returns all policies as a dump | [references/policies.md](references/policies.md) |
| **Metadata** (`metadata --json`) | Declarative backend state dump (auth config / tables / buckets / functions / AI models / realtime channels) | [references/metadata.md](references/metadata.md) |
| **Error objects** (no command — read SDK / HTTP response) | SDK error envelope + HTTP status — the routing table from a client-visible error to the right log source | [references/error-objects.md](references/error-objects.md) |
| **Deploy state** (`deployments list` + `deployments status <id> --json` + `logs function-deploy.logs`) | Frontend (Vercel) deployment history + per-deploy metadata, plus edge function deploy logs | [references/deploy-state.md](references/deploy-state.md) |
| **AI assist** (`diagnose --ai "<description>"`) | LLM agent that combines the other primitives — returns a diagnosis with suggestions | [references/ai-assisted.md](references/ai-assisted.md) |
## Symptom Recipes
Each recipe is a primitive call sequence with one-line "look for X" at each step. Command syntax, flags, and deep interpretation are in the per-primitive references above.
### Recipe: SDK returned `{ data: null, error: { code, message } }`
1. **error-objects** — read code/message/details. If code starts with `PGRST*`, route by prefix using the table in the reference.
2. **logs** (matching source per error-objects routing) — find the error timestamp, get the full backend-side context.
3. **db-health** (`connections`, `locks`, `slow-queries`) — only if the error suggests DB issue (PostgREST timeout, lock conflict).
### Recipe: HTTP 4xx/5xx response on a specific request
1. **error-objects** — use the HTTP status routing table to pick the log source (each status has a distinct path; 429 is special).
2. **logs** (right source for that status) — find the failing request line and error.
3. **metrics** — only for 5xx patterns spanning multiple endpoints, to confirm system-wide load issue.
### Recipe: RLS access issue (403 on write, or empty result on read)
> Same bug, two surfacings. Writes (INSERT / UPDATE / DELETE) fail loudly with **403**. Reads (SELECT) fail silently with an **empty array** — PostgREST filters denied rows out instead of returning 403, so the request looks successful with zero rows. Diagnosis path is the same except step 1 only applies to the 403 variant.
1. **logs** (`postgREST.logs`) — *403 variant only*: find the policy violation event with table and role context. *Empty-result variant*: skip — no error is logged for silently-filtered rows.
2. **policies** — list policies for that table; walk USING / WITH CHECK against the actual request and the JWT claim used.
3. **metadata** — verify auth config (which claim feeds `auth.uid()` / `requesting_user_id()`; for third-party auth like Clerk/Auth0, is the provider registered as a JWT issuer?).
4. **db query** (`db query "<sql>"`) — *empty-result variant only*: confirm rows that *should* be visible actually exist by querying as service role (not as the user): `npx -y @insforge/cli db query "SELECT id, user_id FROM <table>"`. Distinguishes "RLS filtered everything" from "no matching data exists".
### Recipe: Login fails / OAuth callback errors / token expired
1. **logs** (`insforge.logs`) — find auth errors with timestamp and provider context.
2. **metadata** — verify the providerLet Codex use Google Antigravity CLI (agy) for repository exploration, bounded feature work, and project-scale implementation. Use when a Codex task benefits from delegated repository work while Codex retains diff review, verification, repair, and delivery assurance.
Use when replying. Refresh current date and time.
Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network topology, technical workflows, API call sequences, request lifecycles, data pipelines, ETL/ELT, data lineage, state machines, or to convert/beautify Mermaid.
Design systems, plan implementations, review architecture decisions - Use when you need to plan a complex feature, design system architecture, or make high-level technical decisions.
Use when automating iOS Simulator interactions, capturing screenshots/video, or inspecting accessibility via AXe CLI.
Use when working with Canton Network participants, DAML smart contracts, Splice applications, or debugging LF version and package ID issues.
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