consult
Strategic guidance from the advisor model on a question, with optional focus area and depth.
Skill by fjwood69
Chalk Labs
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
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Files it touches
~/.claude/skills/consult
What's inside
- Skill name
consult- Description
- Strategic guidance from the advisor model on a question, with optional focus area and depth. Use before consequential decisions or to review a plan.
- License
- AGPL-3.0
- Instructions
- 98 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
## Argument Parsing
Parse the user's input for:
- First positional argument → `question`
- `--focus`: one of `general`, `architecture`, `security`, `performance`, `style`
- `--depth`: one of `quick`, `balanced`, `deep`
- `--file` / `-f`: file path(s) to include as context
## Attachment verification (Part 2.1 — fail-loud)
Before calling `mori-consult_advisor`, scan the question text for attachment references:
- Explicit `(attached: <name>)` patterns
- Instructions matching a read-the-source intent: "attached", "READ the", "read the actual",
"source read", "vs pin", "primary source", "primary-source"
For each referenced file: verify it exists on disk. If **any** referenced file is absent, **abort —
do not call `mori-consult_advisor`** — and report:
```
CONSULT ABORTED: attached file(s) missing from payload:
- <path> (referenced in question but not found on disk)
Fix: pass --file <path> or ensure the file exists before consulting.
```
After verifying (or if no attachment references), append a manifest line to the context:
```
ATTACHED FILES: <name1> (<bytes>B), <name2> (<bytes>B)
```
or `ATTACHED FILES: none` if no files were supplied.
## Source-dependence classification (Part 2.2 — mode-integrity)
A consult is **source-dependent** if the question contains any attachment reference OR `--file`
arguments were supplied.
## Depth enforcement
If `--file` arguments were supplied, `--depth` MUST be `deep`. If the user passed `quick`
or `balanced` (or omitted `--depth`), silently coerce to `deep` and prepend a one-line note
to your response:
```
Note: depth coerced to deep — --file requires full analysis budget.
```
## File content injection (client-side)
If `--file` arguments were supplied and all files passed verification:
For each path, use the CC `Read` tool to read the file content **client-side**. Build a list of
objects for the `file_contents` parameter:
```json
[{"name": "path/to/file.py", "content": "<file text>"}, ...]
```
Record each file's name and byte count (bytes = `len(content)`) for the `ATTACHED FILES:` manifest.
Keep the manifest (and any other non-file background) in the `context` parameter — **do not**
paste full file bodies into `context`.
**Do NOT pass raw paths in `files=`** — the MCP server runs on remote GCE; local filesystem
paths are inaccessible there. Always pass `files=[]`; file bodies arrive via `file_contents`.
## Execution (async submit + poll)
`consult_advisor` is **non-blocking**: it returns a `job_id` immediately. Deep consults can take
up to ~300s of Bifrost inference (round-trip often 400–450s). Poll until done.
1. Run attachment verification. Abort loudly if any referenced file is missing.
2. Classify source-dependence.
3. Read each `--file` path client-side; build `file_contents`; append `ATTACHED FILES:` to `context`.
4. Call `mori-consult_advisor` with `question`, `context`, `focus`, `depth`, `files=[]`, and
`file_contents=[...]` (or omit / pass `[]` when no files).
5. Parse the JSON response: `{"job_id": "...", "status": "pending"}`.
6. Poll `mori-consult_status` with that `job_id` every **30–60 seconds** (minimum 30s —
even small-file consults commonly take ~2 minutes of Bifrost latency; polling faster
just burns tool calls) until:
- `{"status": "done", "result": "<advice>"}` → present `result`
- `{"status": "error", "error": "..."}` → report the error loudly
- **Deadline** (~**10 minutes** for deep; ~4 minutes for quick/balanced) → fail with timeout
7. Present the advice (or the failure).
**On job not found:** in-memory jobs are wiped on server restart/CD — resubmit; do not invent advice.
**On error or empty response:**
- **Not source-dependent**: retry once with `--depth quick` (new submit + poll).
- **Source-dependent**: do NOT fall back. Return:
```
CONSULT UNAVAILABLE (source-dependent; fallback would be source-blind).
Options: retry manually, postpone, or proceed without consultation (disclose this).
```
Empty deep-mode responses must surface as `EMPTY_RESPONSE (elapsed: Xs)` — not silent success.From fjwood69/mori, AGPL-3.0.
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- 0.649score
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Bootstraps the memory store from existing material (repos, PDFs, transcripts).
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Bundle the canonical memory set into one structured Markdown document for external-LLM review, audit, or dashboard download.
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Inter-agent messaging — send tasks, questions, and decisions to other Mori agents over NATS
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req
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Lightweight project requirements checklist surfaced via /brief.
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pensieve
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Ranked full-text search and browse over the shared memory store.
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dream
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Runs the dream pipeline that distils session events into durable memories.
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nats
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Cross-device messaging over the NATS bus — ping, publish, subscribe.
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Signals
- Stars
- 32
- Forks
- 5
- Open issues
- 14
- Last commit (this folder)
- Jul 23, 2026 (3 months ago)
- Last release
- Oct 3, 2026 (29 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- AGPL-3.0
- Repository
- github.com/fjwood69/mori
- Website
- moriapp.dev/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
More from fjwood69
- 0.649score
ingest
fjwood69
Bootstraps the memory store from existing material (repos, PDFs, transcripts).
SkillAFreshness: A★ 32Claude Code +9 - 0.649score
brief
fjwood69
Session bootstrap — loads shared memories and team standards from the Mori server.
SkillAFreshness: A★ 32Claude Code +9 - 0.649score
export
fjwood69
Bundle the canonical memory set into one structured Markdown document for external-LLM review, audit, or dashboard download.
SkillAFreshness: A★ 32Claude Code +9 - 0.646score
wrap
fjwood69
Session wrap — summarise session, publish to cc-share and NATS, then dream
SkillAFreshness: A★ 32Claude Code +9 - 0.646score
msg
fjwood69
Inter-agent messaging — send tasks, questions, and decisions to other Mori agents over NATS
SkillAFreshness: A★ 32Claude Code +9 - 0.646score
req
fjwood69
Lightweight project requirements checklist surfaced via /brief.
SkillAFreshness: A★ 32Claude Code +9
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Cite this page
consult skill. Agent Mart. https://agentmart.dev/skills/fjwood69-consult (last updated 2026-10-24)