Diagnose
/Diagnose
Diagnozuje jądro, umiejętności, haki, demony, skarbiec, doktrynę i konfigurację podmiotu, gdy haki zawodzą lub zachowanie agenta się zmienia.
- Autor
- wrg32786 ↗
- Repozytorium
- aigent-os ↗
- Licencja
- MIT
- Ostatnia zmiana repozytorium
- 12.11.2026
Ocena i bezpieczeństwo
- Pliki w paczce
- 1
- Skrypty
- 0
- Komentarze HTML
- 0
- Adresy URL w SKILL.md
- 0
Brak sygnałów. Repozytorium zmienione 12.11.2026, bez odwołań do wycofanych modeli i API.
MIT, otwarta: można używać i zmieniać, z zachowaniem informacji o autorze.
Co robi i kiedy
Diagnozuje jądro, umiejętności, haki, demony, skarbiec, doktrynę i konfigurację podmiotu, gdy haki zawodzą lub zachowanie agenta się zmienia.
Oryginalny opis (EN)
Diagnose kernel, skills, hooks, daemons, vault, doctrine, and principal config. Use when hooks fail, routing breaks, or agent behavior changes.
Jak działa
- When to use
- How to execute
- Output format
- Step 6 — Write the outcome to the failure modes corpus (v0.2.2+)
- Why this skill exists
- Anti-patterns this prevents
- Connects to
Podgląd SKILL.md
---
name: Diagnose
description: "Diagnose kernel, skills, hooks, daemons, vault, doctrine, and principal config. Use when hooks fail, routing breaks, or agent behavior changes."
---
# Diagnose
Most failures in an aigent-OS install aren't bugs in any single component — they're integration failures across layers. `/diagnose` walks the stack with you so you don't have to.
## When to use
- "It used to work, now it doesn't"
- A skill you expect is not being invoked
- `/open` produces incomplete context
- Hooks not firing
- Wikilinks not resolving
- AI behavior changed unexpectedly after an update
- Anything you can't immediately attribute to a single component
## How to execute
### Step 1 — Capture the symptom
Ask the user (or read from their prompt):
- **What were you trying to do?**
- **What happened instead?**
- **What did you expect?**
- **What changed recently?** (git pull, new skill installed, hook edit, kernel update)
Frame the symptom in one sentence. Example: *"/channel-audit used to run when I asked about YouTube performance, now it doesn't."*
### Step 2 — Walk the seven-layer stack
For each layer, ask: could this layer be responsible for the symptom? If yes, run the specific check. If no, move on.
```
LAYER 7 — Principal Configuration
- system/00_identity.md customized?
- system/14_decision_framework.md reflects current priorities?
- vault/projects/ and vault/people/ populated?
Check first if symptom involves AI giving wrong context or missing your situation.
LAYER 6 — Doctrine (vault/concepts/)
- Has a relevant doctrine note been edited recently?
- Are there standing rules that should be firing but aren't?
Check if symptom is about AI behavior changing without you having edited the kernel.
LAYER 5 — Vault Content
- Wikilinks resolve? (run /system-check Tier 4)
- Heat index up to date?
- Memory layer current?
Check if symptom is "AI doesn't know about X" or "/open missed Y."
LAYER 4 — Daemons
- Heat compute daemon ran recently?
- Semantic search index fresh?
Check if symptom is "skills not surfacing" or "search results stale."
LAYER 3 — Hooks
- Settings.json wired?
- Hook scripts executable?
- Hook output going where you expect?
Check if symptom is "automated behavior stopped."
LAYER 2 — Skills
- skill-index.json valid?
- Trigger keywords match the user's actual phrasing? (run /skill-audit Section 3)
- Skill descriptions match what the skill does?
- Skill visible at all? Run /context: a skill whose description was dropped by the listing budget cannot be matched.
Check if symptom is "wrong skill firing" or "no skill firing."
LAYER 1 — Kernel
- All 15 system docs present and unmodified?
- CLAUDE.md loaded?
- Authority matrix consistent with what you've authorized?
Check last — kernel issues are rare but high-blast-radius.
```
### Step 3 — Form a hypothesis
State the most likely layer + the specific issue. Example:
*"Hypothesis: Layer 2 (Skills) — the trigger keywords for /channel-audit don't match the phrasing you've started using. /skill-audit Section 3 will confirm."*
### Step 4 — Verify with one targeted check
Run the specific check that confirms or refutes. Don't fix yet — verify the diagnosis first.
### Step 5 — Recommend a fix
Concrete steps. Not advice ("you should…") — commands ("run /skill-audit then add 'performance check' to .claude/skill-index.json line 47").
## Output format
```
🩺 aigent-OS Diagnose
SYMPTOM
{one-sentence framing}
WHAT CHANGED RECENTLY
{if known}
LAYER WALK
✅ L7 Principal Config — OK
✅ L6 Doctrine — OK
✅ L5 Vault — OK
✅ L4 Daemons — OK
✅ L3 Hooks — OK
⚠️ L2 Skills — POSSIBLE CAUSE
✅ L1 Kernel — OK
HYPOTHESIS
Layer 2 (Skills): trigger keywords for /channel-audit drift from current
phrasing. Confirmed by /skill-audit Section 3.
FIX
1. Add "performance check" and "review channels" to /channel-audit's
description ("Use when ...")
2. Save and re-test the failing prompt
3. If still broken, check the skill appears in /context (listing budget)
```
## Step 6 — Write the outcome to the failure modes corpus (v0.2.2+)
When the diagnosis is verified (the layer + symptom matched the actual cause and the fix worked), append to `vault/memory/FAILURE_MODES.md`:
```markdown
## YYYY-MM-DD — {short symptom name}
**Symptom (verbatim from principal):** "{their own words}"
**Layer responsible:** L{N} ({layer name})
**Specific cause:** {file/line/config that was the actual issue}
**Fix applied:** {what the principal or agent did}
**Time to diagnose:** {minutes from /diagnose start to verified cause}
**Pattern (one line):** {what category of failure this was}
```
Why: a single failure is data; recurring failures are doctrine. The corpus enables Phase 2 promotion of patterns that occur 3+ times to [[Common Failure Modes]] permanent doctrine. Without the corpus, the framework can't harden against the failures it's actually had.
Skip this step if the diagnosis didn't verify — only confirmed causes get written. Hypotheses that didn't pan out aren't useful corpus data.
## Why this skill exists
Without `/diagnose`, a user with a broken install has to either dive into the source or give up. The seven-layer model gives them a structured path through the stack — even if they don't fix it themselves, they end up with a precise enough diagnosis to file a useful issue or ask a useful question.
Over time, the corpus this skill builds turns one-off diagnostics into framework hardening — the failure modes the framework has actually hit become the failure modes future principals can recognize in 30 seconds instead of 30 minutes.
## Anti-patterns this prevents
- "Something's broken" → maintainer asks 5 follow-up questions to figure out what
- User fixes the wrong layer (e.g., editing the kernel when the skill was the issue)
- Frustration from intermittent failures with no obvious cause
- Issues filed without enough information to action
## Connects to
- [`/system-check`](../system-check/SKILL.md) — verifies install integrity
- [`/skill-audit`](../skill-audit/SKILL.md) — checks skill catalog hygiene (Layer 2 deep-dive)
Wersje
| Repozytorium | Wynik | Licencja |
|---|---|---|
| Ta strona · wrg32786/aigent-os | 90 | MIT |
| markusleben/ha-nova | 100 | MIT |
| als-apg/osprey | 100 | BSD-3-Clause |
| DeevsDeevs/agent-system | 100 | Apache-2.0 |
| terrylica/cc-skills | 100 | MIT |
| afrotools/afrotools | 100 | Apache-2.0 |
| YuDefine/nuxt-supabase-starter | 100 | MIT |
| redpanda-data/ui-harness | 100 | MIT |
| Sellyew/Workbuddy-workflow | 100 | MIT |
Migawka bazy z 13.11.2026 · wersja paczki ca796499e9f8 (skrót SHA-256 całej paczki)
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