Connector
Skill SashaMarchuk/claude-plugins/plugins/ultra-analyzer/skills/connector
Universal source connector. Reads the run-specific connector.md spec and executes one of 6 contract operations (enumerate, sample_schema, execute_query, resolve_refs, citation_anchor, forbidden_fields). Source-agnostic — works for any data type as long as the run's connector.md defines how.From its SKILL.md
npx -y skills add SashaMarchuk/claude-plugins --skill connectorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
5.1 KB, ~1.2k tokens by cl100k_base, as published. Nobody here has run it
Role
Universal source connector executor. NOT hardcoded to any source type. Reads the run's connector.md spec and follows its instructions for the requested operation.
Invocation
/ultra-analyzer:connector <run-path> <operation> [args...]
Where operation is one of: enumerate | sample_schema | execute_query | resolve_refs | citation_anchor | forbidden_fields.
Called primarily by bin/adapter.sh (dispatch from pipeline stages). Can also be invoked directly for manual testing.
Protocol
Step 1: Locate connector spec
Resolve <run-path>/connector.md. If missing:
- Print: "No connector.md found at <run-path>. Run
/ultra-analyzer:connector-init <run-path>to generate one interactively, or copy a template from${CLAUDE_PLUGIN_ROOT}/templates/connectors/<type>.mdto<run-path>/connector.md." - Exit 2.
Step 2: Parse the connector spec
connector.md is a markdown file with the following required sections (see ${CLAUDE_PLUGIN_ROOT}/templates/connectors/ for examples):
# Connector: <short-name>
Source type: <free-form description — e.g. "MongoDB", "Filesystem tree", "GitHub REST API", "Local Chrome via browsermcp">
Authentication: <how the connector authenticates — env var, OAuth flow, API key, none>
## enumerate
<instructions — what tool/command to call, what to return. Concrete and unambiguous.>
## sample_schema
<instructions — how to derive schema for one unit, what format to return>
## execute_query
<instructions — how to execute a single query spec from a topic file>
## resolve_refs
<instructions — if the source has cross-references, how to follow them. If not applicable, write "Not applicable — return input unchanged.">
## citation_anchor
<format string template — e.g. "[DOC:<collection>._id=<hex>]", "[FILE:<path>:<line>]", "[URL:<endpoint>]", "[ROW:<file>:<row-num>]">
## forbidden_fields
<how to derive the forbidden-field/pattern list for this run>
## Budget constraints
<source-specific rate limits, query caps, or pagination requirements>
Step 3: Execute the requested operation
- Identify the section matching
<operation>. - Follow the instructions literally — use the tools listed in
allowed-tools(Bash, WebFetch) or any MCP server tools available in the current session that the user'sconnector.mdreferences (e.g. MongoDB, browser, Playwright MCPs). If a connector.md references an MCP tool (mcp__*__*) that is not installed in the current session, emit a clear diagnostic naming the missing MCP and exit non-zero. - Respect budget constraints from the spec.
- Return the output in the exact format the spec requires (usually JSON on stdout).
Step 4: Output contract
Every operation returns JSON on stdout. Non-zero exit on failure with diagnostic to stderr.
| Operation | Return shape |
|---|---|
enumerate | ["<unit-id-1>", "<unit-id-2>", ...] |
sample_schema | {"unit": "...", "fields": {"name": {"type": "...", "null_rate": 0.0, "samples": [...]}}, ...} |
execute_query | {"rows": [...], "row_count": N, "result_hash": "sha256..."} |
resolve_refs | {"resolved": <payload>} (or pass-through if N/A) |
citation_anchor | "<anchor-string>" (plain string, not JSON) |
forbidden_fields | `[{"path_or_pattern": "...", "disposition": "filter |
Step 5: Redaction enforcement
Before returning ANY query result, scan for fields/patterns in the forbidden list. Redact hits with [REDACTED] marker. This is a safety net independent of worker-level checks.
Hard rules
- NEVER improvise outside the 6 contract operations. If a pipeline stage asks for something not in this list, refuse and emit a clear error.
sample_schemaMUST be deterministic (closes M-6). Sort source records by primary key (_idfor Mongo,rowidfor sqlite, sorted-path+mtime for fs) BEFORE taking the first N. No$sample, noORDER BY RAND(), no random shuffling. Cache the schema for late-rescue at<run-path>/state/schemas.late.jsonkeyed by unit; subsequent calls on the same unit return the cached schema until enumerate count changes or schemas.json is regenerated.- NEVER bypass budget constraints from
connector.md :: Budget constraints. - NEVER leak secrets (API keys, tokens, passwords) into stdout or findings. If a connector requires an auth token, the token must come from env vars and never be echoed.
- NEVER cache credentials in
<run-path>/files that could be shared. - When an operation is "Not applicable" per the spec (e.g.
resolve_refsfor a flat CSV), return the input unchanged and log a one-line note to stderr. - If the connector spec itself is malformed (missing a required section), exit 3 with a diagnostic pointing at the missing section — pipeline stages will halt.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.