--- name: using-interns version: 0.2.0 description: Use when delegating predictable bulk reads or summarization to cheap intern LLMs via the local `interns` MCP server (`mcp__interns__bulk_text_read`, `mcp__interns__transcript_distill`, etc.) so Claude saves Anthropic quota. Activated by `delegate to interns when allowed` in CLAUDE.md or explicit phrases like "use interns", "delegate to an intern", "разреши интернов", "allow interns". Per-session permission grant mirrors `project-discipline` Rule 4: ask-mode default, conversational grant / revoke, always-ask paths for `.env` / secrets / keys / SSH / credentials even with active grant, transitive rule (Claude can't bypass by reading the file itself and forwarding content), session-end reset. Skip for architecture, debugging, auth / payments, final commit messages, or final user-facing text. --- # Using the `interns` MCP server ## Overview `interns` is a local stdio MCP server that exposes a catalog of cheap-LLM "interns" — DeepSeek, Kimi, Ollama-hosted models, etc. — so Claude can delegate predictable bulk I/O and summarization tasks instead of paying Anthropic quota for them. The pattern (~23× cheaper end-to-end on summarization, ~125× per-call on bulk reads) is sourced from a Reddit thread + Medium follow-up; see `.wiki/concepts/interns-design.md` for the full design and the cost numbers. Three MVP interns: | Tool | What it does | When to call | |---|---|---| | `mcp__interns__bulk_text_read` | Reads N files end-to-end and answers a focused question with file:line citations. | Claude was about to read 3+ files or one file > 400 lines just to extract context. | | `mcp__interns__transcript_distill` | Compresses a session transcript / log into a structured action list (decisions / open questions / next steps). | Before updating `.wiki/log.md` or producing a session summary. | | `mcp__interns__repo_read` | Packs a directory/repo via `repomix` and answers a focused question about the codebase. | Whole-repo or whole-directory questions — architecture, "where is X used", "what does module Y do". See Routing hints for `repo_read` vs `bulk_text_read`. | All currently run on Ollama Cloud (`deepseek-v4-flash`, ~$0.002 / call). Adding a new intern is a config-only change — see `.wiki/concepts/interns-design.md` § "Как добавить нового интерна". ## Prerequisites This skill assumes `mcp__interns__*` tools are available. If they aren't (tools missing from the session, or calls fail with a connection error), the server isn't running for this session. Trigger the **`setup-interns`** skill to `pip install -e` the runtime, write `.common/secrets/interns.env`, and register `mcpServers.interns` in `~/.claude.json`. It's a one-time procedure with confirmation gates. ## When to use - A read that's **bulky and not central to editing**: scanning long config files, log dumps, transcript files, generated docs — anything where Claude would burn input tokens summarizing for itself. - A read across **3+ files** to assemble context. - A read of **one file > 400 lines** that won't be edited. - **Transcript / session distillation** before writing a wiki log entry, summary, or post-mortem. - Any future intern documented in `.common/config/interns/config.yaml` (PDF extraction via Marker, repo packaging via Repomix, JS-rendered web fetches via Firecrawl, etc.) — same trigger / grant rules apply. ## When NOT to use - **Architecture / design decisions.** Cheap models miss subtle trade-offs. - **Debugging.** Cheap models hallucinate in ways that turn a 5-minute fix into a 1-hour wild goose chase. - **Auth / payments / PII / production data / deletion.** Recommendation, not enforced — but obvious. - **Final commit messages, PR descriptions, user-facing answers.** The task explicitly delegated *to* Claude. Don't sub-delegate the deliverable. - **Anything that fits into Claude's own working context cheaply.** A 50-line file to skim is not a delegation candidate; it's just a Read. ## Per-session permission grant (mirrors `project-discipline` Rule 4) The grant mechanism is identical in shape to the push-grant in `project-discipline`. Reuse the same vocabulary so the user doesn't have to learn two policies. ### Default — ask-mode Every session starts in ask-mode. Before the first `mcp__interns__*` call, ask: > Я бы делегировал чтение `` интерну `bulk_text_read` (DeepSeek Flash via Ollama Cloud, ~$0.002 за вызов). Ок? (or its English equivalent if the user is communicating in English) and wait for explicit `yes` / `да` / `go` / `поехали`. Without confirmation — don't call. ### Conversational grant When the user says any of: - "разреши интернов" / "разреши интерна" / "разреши делегировать" - "allow interns" / "use interns freely" / "go ahead with interns" — grant the right to call `mcp__interns__*` without further confirmation **for the rest of the session**, subject to always-ask paths below. Acknowledge the grant in one short line ("ок, делегирую интернам без подтверждения, кроме secrets-путей" / "got it, free delegation except secrets"). ### Conversational revoke When the user says any of: - "отзови интернов" / "снова спрашивай" / "делай сам" - "revoke interns" / "stop using interns" / "ask me again every time" — return to ask-mode for the rest of the session. Acknowledge in one short line. ### Session-end reset The next session starts in ask-mode regardless of prior grants. Same reasoning as `project-discipline` Rule 4: a grant is given for the current context (user nearby, attention available), and should not survive a context switch. ### Always-ask paths (even with active grant) These never go to an intern silently, even when delegation is granted: - `**/.env`, `**/.env.*` - `**/secrets/**` (including `.common/secrets/`, `~/.config/projects-mcp/`) - `**/credentials*`, `**/credentials.json` - `**/*.key`, `**/*.pem` - `**/.ssh/**` - `**/.aws/credentials`, `**/.aws/config` - `**/.netrc`, `**/.npmrc`, `**/.pypirc` The `interns` MCP server enforces this server-side: matched paths return `BlockedByPolicy{path, pattern, reason}` instead of going out to the endpoint. Claude's job: **don't try to bypass** by reading the file with the local `Read` tool and forwarding the content as a string argument. The transitive rule applies — once a file matched, its content stays out of every intern call for the rest of the session unless the user explicitly grants per-path. When a path is blocked, ask the user explicitly: > Файл `` matched always-ask pattern `` (reason: ``). Передавать интерну на endpoint `` несмотря на это? Wait for an explicit per-path "yes". Don't generalize the answer to other paths in the same call. ### Cost-based always-ask Any call with estimated cost > $0.10 (per the `tokens × price_per_M` config in `.common/config/interns/config.yaml`) goes to ask-mode regardless of grant state. Sanity bound — catches a misrouted huge-payload request before it bills. ## Routing hints (when to pick which intern) | Situation | Intern | |---|---| | File > 400 lines, not editing it | `bulk_text_read` | | Need to read 3+ files for context | `bulk_text_read` | | Whole-repo or whole-directory question (architecture, "where is X used", "what does module Y do") | `repo_read` | | `bulk_text_read` vs `repo_read` | Use `bulk_text_read` when file paths are known and explicit. Use `repo_read` when you need a whole directory without cherry-picking files — repomix packs everything under the given paths. | | Don't delegate editing or debugging a specific file to `repo_read` | Read the file yourself. `repo_read` is for comprehension, not modification. | | Updating `.wiki/log.md` or session-summary doc | `transcript_distill` | | Compressing a long brainstorm transcript before quoting in a design doc | `transcript_distill` | | (Future interns in `config.yaml`) | per the description in the catalog | ## Workflow ``` 1. Identify the candidate task (read-heavy, bulk, predictable). 2. Pick the intern from the routing table. 3. Check grant state: • ask-mode → ask before calling • granted → check always-ask paths; if any matched, ask per-path 4. Call the intern with `paths` (list of file paths — the server reads them) and `question` (focused, specific). 5. Cite the response (file:line refs come from the intern's reply). ``` Don't pass file *contents* as arguments — only paths. The MCP server reads and applies the always-ask matcher before any path content reaches an endpoint. If you forward content yourself, the gate is bypassed and the user can't trust the policy. ## Tool quick reference | Tool | Required args | Optional | Purpose | |---|---|---|---| | `mcp__interns__bulk_text_read` | `paths: list[str]`, `question: str` | `max_tokens: int` | Read N files end-to-end, answer the question with citations. | | `mcp__interns__repo_read` | `paths: list[str]`, `question: str` | `compress: bool`, `max_tokens: int` | Pack directory/repo via repomix, answer the question. Use `compress=True` for large codebases (lossy: strips comments/whitespace). | | `mcp__interns__transcript_distill` | `paths: list[str]`, `question: str` | `max_tokens: int` | Distill transcript / log into structured action list. | (Future interns expose tools at `mcp__interns__` as the catalog grows.) ## Examples ### Read-bulk delegation User: "summarize what these four config files do for the build pipeline." ``` 1. Routing → bulk_text_read (4 files, context only). 2. Grant state → ask-mode (session start). 3. Ask: "Bulk-read these 4 files via bulk_text_read (~$0.002)? Ок?" 4. User: "ok" 5. Call mcp__interns__bulk_text_read paths: ["build/config.ts", "build/plugins.ts", "build/env.ts", "build/output.ts"] question: "What does each file contribute to the build pipeline? Cite file:line." 6. Cite the response. Done. ``` ### Always-ask path triggered User: "scan all `.env*` files in the repo and tell me which keys are duplicated." ``` 1. Routing → bulk_text_read. 2. Grant state → granted (user said "allow interns" earlier). 3. Path matcher → every input matches `**/.env`. Server returns BlockedByPolicy. 4. Ask user: "These are .env files (always-ask). Pass them to bulk_text_read despite the secrets exposure?" 5. Wait for explicit per-path yes/no. ``` ### Transcript distill User: "compress this brainstorm transcript into action items before I ingest it into the wiki." ``` 1. Routing → transcript_distill. 2. Call mcp__interns__transcript_distill paths: [".meeting-room/.brainstorm/foo.md"] question: "Extract decisions, open questions, and next steps. Output structured markdown." 3. Quote the result in the wiki ingest commit. ``` ## Common mistakes | Mistake | Fix | |---|---| | Calling an intern in ask-mode without asking first | Ask before the first call every session, even for trivial reads. | | Forwarding file *content* instead of *path* | Pass paths. The server reads. The matcher only sees paths. | | Trying to bypass always-ask by reading the file with `Read` and pasting content | Transitive rule — that path stays out of intern calls for the session unless user says otherwise per-path. | | Sub-delegating final deliverables (commit messages, user-facing answers) | Those are Claude's job. Interns are for predictable bulk I/O, not for the answer that ships. | | Using an intern for debugging | Cheap models miss subtle bugs. Pay the Anthropic call for debugging — the savings aren't worth a wrong fix. | | Persistent grant across sessions | The next session resets to ask-mode. By design — same as project-discipline Rule 4. | ## Red flags - "I'll just paste the content as a string arg" → no. The matcher only sees paths. If you're tempted to bypass it, you're about to leak a secret. - "This grant should survive the session" → no. The next session asks again. The grant is bound to the current context where the user is paying attention. - "It's just a small file, why ask?" → small files don't need an intern. Read them yourself. The ask is *because* the call goes to a third-party endpoint, not because of size. - "Estimated cost is fine, $0.08 < $0.10" → still ask if the call is novel or the file set is unfamiliar. The cost gate is a hard ceiling, not the only signal.