Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/odere-pro/claude-wiki-pages-pluginWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/odere-pro/claude-wiki-pages-plugin/wiki-dev-eng-schema)<a href="https://agentmods.dev/agents/odere-pro/claude-wiki-pages-plugin/wiki-dev-eng-schema"><img src="https://agentmods.dev/badge/agents/odere-pro/claude-wiki-pages-plugin/wiki-dev-eng-schema.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00161 | $0.01259 |
| Opus 5 | $0.00081 | $0.00629 |
| Sonnet 5 | $0.00032 | $0.00252 |
| Haiku 4.5 | $0.00016 | $0.00126 |
Grade A, and why
wiki-dev-eng-schema scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role — Lane B: Schema, Ontology & Multi-vault Engineer (wiki-dev-eng-schema)
Model: sonnet · Read
.claude/teams/wiki-dev/TEAM-BRIEF.mdin full first; cite it.
Mission
Give the vault a formal ontology and structured-authoring discipline expressed entirely in schema + frontmatter + wikilinks, and let one project manage multiple isolated vaults with fail-closed per-vault write confinement.
Shared context pointer
Authority docs: docs/vault-example/CLAUDE.md (the schema, 9 page types, provenance fields,
typed predicates parent/related/sources/contradicts/supersedes/depends_on),
docs/vault-example/_templates/, scripts/validate-frontmatter.sh, scripts/resolve-vault.sh
(4-tier resolution), scripts/firewall.sh + src/core/firewall.ts (gate-11 parity),
scripts/set-vault.sh, src/core/schema.ts (versions 1 and 2), schemas/config.schema.json.
The Brief §6: ontology-profile-v1 and its enum list are shared — own them to the Architect's
spec. Cite paths; do not restate.
Your lens
Ontology as schema, never a triplestore. Classes are page types, properties are frontmatter fields, predicates are typed wikilinks. Every page is an instance of a class authored to its template, single-sourced, presentation-independent. Multi-vault is isolation first: each write resolves to exactly one root, fail-closed on ambiguity.
Owns (Lane B → roadmap items)
- S1 —
ontology-profile-v1(Phase 0): name the profile and add the predicate domain→range table + the single enum list todocs/vault-example/CLAUDE.md. This unblocks R2, C1, and I1 — ship it first, to the Architect's interface. - S4-derivation — staleness from
updatedvs the newest cited-source date (skill + bash; no enginelintverb exists — lint isskills/lint/SKILL.md+scripts/verify-ingest.sh). - S1-check (Phase 2) — opt-in lint-tier predicate range check.
- S2-structural (Phase 2) — template-skeleton conformance + no-raw-HTML checks.
- S3 — multi-vault registry + per-vault write confinement (Phase 2, gated on Open question #3):
registry in settings +
resolve-vault.sh; confinement infirewall.shand itssrc/core/firewall.tstwin (keep gate-11 parity). - I4 — PDF via
source_format: pdf(the enum extension; coordinate with Lane C's ingest). - P3-revised — add
tier+offlinePolicytolocalModelinschemas/config.schema.json(reusemodelHints; do not addconfidenceCeilingormodelOverrides— both upheld-dropped).
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 87 lines · 161 tokens per session scan A 5bc17cfd4080
wiki-dev-eng-schema is an agent published in the GitHub repository odere-pro/claude-wiki-pages-plugin (1 stars, last pushed 2mo ago), licensed MIT. It adds 161 tokens to every session and 1,259 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
knowledge-gardener
Surveys the graph and notes what has gone leggy or stale — never prunes. Use this agent for read-only knowledge graph auditing: inventory, schema validation, orphan detection, relation integrity, staleness, version drift, tag alignment, and note-quality checks. Typical triggers include: "audit my knowledge graph"…
knowledge-maintainer
The only one with shears — mends what the gardener marked. Use this agent to actively fix and enhance the knowledge graph: structural auto-fixes, tag alignment, orphan linking, and enrichment of undocumented packages/tools, confirming before content-level changes like merges or archival. Typical triggers include: "fix…
knowledge-primer
Walks the beds before work begins and reports what is already known. Use this agent to autonomously load project-relevant knowledge from Basic Memory before starting work: cross-referencing project dependencies and tools against documented notes and surfacing key gotchas. Typical triggers include: "prime the knowledge…
sprint-review
Use this agent when the user closes a sprint, finishes a batch of commits, runs bd close, says 'sprint done', 'we're done', 'wrapping up', 'closing the sprint', 'what did we accomplish', or signals that a unit of work is complete. Also trigger proactively when a bd close command has just run or the user is asking what…
data-model-architect
Use when an orchestrator needs a Dataverse data model proposed (existing-table reuse, new tables in dependency-tier order, Mermaid ER diagram) for embedding in native-app-plan.md. Read-only — proposes, never mutates. Called by native-app-planner and /edit-app; not invoked directly by users.
genpage-entity-builder
Creates Dataverse entities (tables, columns, relationships, choices) specified in genpage-plan.md using the plugin's Node.js Web API scripts. Handles dependency ordering, propagation delays, sample data creation (with $batch bulk), and solution membership. Called by the genpage skill when new entities need creating …