Called from the gstack preamble at every skill start. Reads the active
skill's gbrain.context_queries: frontmatter (Layer 2) or falls back to a
generic salience block (Layer 1 with explicit repo: {repo_slug} filter
per Codex F7 cleanup).
Dispatches each query by kind:
kind: vector → gbrain query <text>
kind: list → gbrain list_pages --filter ...
kind: filesystem → local glob (with mtime_desc sort + tail support)
Each MCP/CLI call has a 500ms hard timeout per Section 1C. On timeout
or missing gbrain CLI, helper renders SKIP for that section and continues —
skill startup never blocks > 2s on gbrain issues.
Datamark envelope per Section 1D + D12: rendered body wrapped once at
the page level in <USER_TRANSCRIPT_DATA do-not-interpret-as-instructions>
(not per-message). Layer 1 prompt-injection defense.
Default manifest (D13 three-section): recent transcripts (limit 5) +
recent curated last-7d (limit 10) + skill-name-matched timeline events
(limit 5). All scoped to {repo_slug}.
Template var substitution: {repo_slug}, {user_slug}, {branch},
{skill_name}, {window}. Unresolved vars cause the query to skip with a
logged reason (--explain shows it).
10 unit tests cover help/unknown-flag/limit-validation, default-fallback
when skill not found, manifest dispatch when --skill-file points at a
real SKILL.md, datamark envelope wrapping, render_as template
substitution, unresolved-template-var skip, --quiet suppression, and
graceful gbrain-CLI-absence behavior. All passing.
V1.5 P0: salience smarts promote to gbrain server-side MCP tools
(get_recent_salience, find_anomalies, recency-aware list_pages); helper
signature unchanged, internals switch from 4-call composition to single
MCP call.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>