Can't fetch m.cuer.ai at all
Use the raw GitHub fallback URL instead:
https://raw.githubusercontent.com/Camaraterie/memory-palace/master/public/memory-palace-skill.md
If that also fails, you cannot browse URLs. You are Template F (no HTTP access). Ask the user to paste the skill document into the chat manually.
400 from /api/ingest or /api/store
Bad request — the payload doesn't meet schema requirements. Required fields: session_name, agent, status, outcome, built, decisions, next_steps,
files, blockers, conversation_context, roster, metadata
outcome must be one of: succeeded, failed, partial, in_progress All list fields (built, decisions, next_steps, files, blockers) must be arrays.
Fix: check each required field is present and correctly typed.
403 from /api/ingest or /api/store
Invalid, revoked, or insufficient-permission guest key.
- Guest key must start with gk_
- Key must be active (not revoked)
- Key must have write or admin permission
Fix: ask the user to confirm your guest key and whether it is still active.
422 from /api/ingest or /api/store
Schema validation failed or prompt injection detected.
- Prompt injection: your payload contains phrases like "ignore previous instructions", "jailbreak",
"DAN", "system prompt", etc. These are flagged for security.
- Schema: re-check all required fields are present and outcome is a valid enum value.
Fix: remove any flagged phrases from the payload. Use neutral, factual language.
Parse error on store URL
If you are using the simple field URL format (/store?auth=...&session_name=...), spaces must be encoded as + or %20, and lists must be comma-separated. Example: built=auth+middleware,login+page&decisions=use+JWT
If you are using the base64url data format (/api/ingest?auth=...&data=...), make sure the JSON is valid before encoding, and use URL-safe base64 (no padding).
Fix: use the simple field URL format if encoding is causing issues.
Fork skill page shows "no skill fork" or "This memory does not contain a skill fork"
This memory was stored before fork skills were added, or does not have fork_template in metadata.
Fix: re-run /onboard. A new onboarding memory will include fork_template in metadata, and /q/<new_short_id>/skill will serve your personalized fork skill.
Fork skill page shows HTML entities (" < >)
The HTML page at /q/<short_id>/skill uses an HTML wrapper. Use the plain-text endpoint instead:
GET https://m.cuer.ai/api/fork?id=<short_id>
This returns text/plain with no HTML wrapping.
Can't fetch QR PNG (binary fetch fails)
Your environment cannot fetch binary files. You are Template H (or similar).
Fix: ask the user to download the QR PNG and attach it to the conversation:
"Please download this file and attach it: https://m.cuer.ai/q/<short_id>/qr"
QR code in the generated image doesn't scan
The QR module geometry was distorted during image generation.
Diagnosis: send the image to https://m.cuer.ai/api/scan/verify (POST multipart/form-data, field: image)
- If scannable: false → QR was distorted. Regenerate.
- If scannable: true → QR is fine, scanning tool issue.
Fix: regenerate the image. Make sure the QR reference PNG was passed as a reference/input image, not described in the prompt text. The image model must copy the QR pixels precisely. Checkerboard or placeholder QRs will not scan.
Wrong template selected — capability mismatch
Re-run the active probe tests to determine correct template:
Test 1 (browse): GET https://m.cuer.ai/api/probe → {"ok":true}
Test 2 (terminal): run: npx --version
Test 3 (code): run: print(1+1) in code interpreter
Test 4 (net): run Python: urllib.request.urlopen("https://m.cuer.ai/api/probe").read()
Test 5 (POST): POST https://m.cuer.ai/api/probe → {"ok":true}
Test 6 (binary): GET https://m.cuer.ai/api/probe/png → receive image bytesRe-run /onboard after confirming your actual capabilities.
/api/recall or /api/palace returning 401
These endpoints require auth. Use one of:
Option A (header): Authorization: Bearer gk_...
Option B (URL param): ?auth=gk_...
"Memory not found" on /api/recall
The short_id you passed either does not exist or belongs to a different palace. Only memories stored by your guest key's palace are visible.
No response from any endpoint (timeout)
Your environment may be sandboxed with no internet access. Test: run Python: urllib.request.urlopen("https://m.cuer.ai/api/probe").read() If this times out, you are in a sandboxed interpreter (Template F or no-net Template E).
More help
Skill doc: https://m.cuer.ai/memory-palace-skill.md Onboard: https://m.cuer.ai/memory-palace-onboard.md FAQ: https://m.cuer.ai/api/faq