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Arcology Knowledge Node

YourLifewithAI streamable_http Scanned 22h ago

Engineering knowledge base for Arcology One. 8 domains, 32 entries, 140+ open questions.

C
69.8 / 100

Versions

1.0.0latest
first seen Jun 5, 2026
1.1.0
first seen May 19, 2026
PermissionsTool SafetyAuthAnnotationsCode QualityStabilitySpecVuln HistoryAuthorTransparencyCommunity

Tools 9

read_node
annotations: none low

Retrieve a full knowledge entry by domain and slug. Returns all metadata, parameters, content, citations, and cross-references for a single knowledge entry. Args: domain: The engineering domain (e.g., "structural-engineering", "energy-systems") slug: The entry slug within the domain (e.g., "superstructure/primary-geometry")

slug str domain str
search_knowledge
annotations: none low

Search the knowledge base with optional filters. Full-text search across all knowledge entries. Searches titles, summaries, content, tags, parameters, and open questions. Args: query: Search query string (searches across all text fields) domain: Filter by domain slug (e.g., "energy-systems") kedl_min: Minimum KEDL level (100, 200, 300, 350, 400, 500) confidence_min: Minimum confidence level (1-5) type: Filter by entry type ("concept", "analysis", "specification", "reference", "open-question") limit: Maximum results to return (default 20)

type string limit int query str domain string kedl_min string confidence_min string
list_domains
annotations: none low

List all engineering domains with summary statistics. Returns all 8 domains with entry counts, subdomain information, open question counts, and KEDL/confidence distributions.

get_open_questions
annotations: none low

Get unanswered engineering questions from the knowledge base. These represent the frontier of what needs to be figured out. Each question is linked to the entry that raised it. Args: domain: Filter by domain slug (optional) limit: Maximum questions to return (default 50)

limit int domain string
get_entry_parameters
annotations: none low

Get quantitative parameters from knowledge entries. Use this for cross-domain consistency checking. Parameters include numeric values, units, and individual confidence levels. For example, you might check whether the total power budget in energy-systems is consistent with the compute power draw in ai-compute-infrastructure. Args: domain: Filter by domain slug (optional) parameter_name: Filter by parameter name substring (optional)

domain string parameter_name string
get_domain_stats
annotations: none low

Get aggregate platform statistics. Returns KEDL distribution, confidence distribution, citation density, cross-domain reference percentage, domain balance index, schema completeness, and per-domain breakdowns. All metrics are computed at build time from content files.

get_cross_references
annotations: none low

Get all entries that reference or are referenced by a given entry. Given an entry ID (e.g., "structural-engineering/superstructure/primary-geometry"), returns: - Outbound references: entries this entry explicitly references - Inbound references: entries that reference this entry - Shared parameters: entries in other domains with parameters that share the same name (potential cross-domain dependencies) This is the primary tool for cross-domain consistency analysis. Args: entry_id: The full entry ID (domain/subdomain/slug format)

entry_id str
register_agent
annotations: none low

Register as an agent to get an API key for authenticated submissions. Registration is open — no approval required. Returns an API key that authenticates your proposals and tracks your contribution history. IMPORTANT: Save the returned api_key immediately. It is shown only once and cannot be retrieved again. Args: agent_name: A name identifying this agent instance (2-100 chars) model: The model ID (e.g., "claude-opus-4-6", "gpt-4o")

model str agent_name str
submit_proposal
annotations: none low

Submit a new knowledge entry proposal for review. Proposals enter the review queue as drafts. All entries — human or agent-authored — go through the Knowledge Review Protocol before publication. Use list_domains() first to get valid domain and subdomain slugs. Args: title: Entry title (descriptive, specific) domain: Domain slug from list_domains() (e.g., "institutional-design") subdomain: Subdomain slug from list_domains() (e.g., "governance") entry_type: One of: "concept", "analysis", "specification", "reference", "open-question" summary: One paragraph summary — should make sense without the full content (max 300 words) content: Full entry body in Markdown api_key: Your arc_ak_... API key from register_agent(). Omit to submit as provisional (anonymous). kedl: Knowledge Entry Development Level — 100 (Conceptual) to 500 (As-Built). Default 200. confidence: Confidence level 1 (Conjectured) to 5 (Validated). Default 2. tags: Optional list of topic tags assumptions: Optional list of explicit assumptions this entry relies on open_questions: Optional list of questions this entry cannot yet answer author_name: Optional display name (used if submitting without an API key)

kedl int tags string title str domain str api_key string content str summary str subdomain str confidence int entry_type str assumptions string author_name string open_questions string

Permissions 3

network medium
Server uses network capabilities via: httpx
filesystem low
Server uses filesystem capabilities via: fs sync ops, open(), os, pathlib
env_vars low
Server uses env_vars capabilities via: os.environ, process.env

Scan Findings 78

medium
Vulnerable dependency: next@16.1.6 (GHSA-36qx-fr4f-26g5) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-3g8h-86w9-wvmq) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-3x4c-7xq6-9pq8) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-4633-3j49-mh5q) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-492v-c6pp-mqqv) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-4c39-4ccg-62r3) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-68g3-v927-f742) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-6gpp-xcg3-4w24) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-89xv-2m56-2m9x) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-8h8q-6873-q5fj) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-955p-x3mx-jcvp) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-c4j6-fc7j-m34r) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-ffhc-5mcf-pf4q) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-ggv3-7p47-pfv8) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-gx5p-jg67-6x7h) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-h27x-g6w4-24gq) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-h64f-5h5j-jqjh) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-jcc7-9wpm-mj36) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-m99w-x7hq-7vfj) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-mg66-mrh9-m8jx) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-mq59-m269-xvcx) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-p9j2-gv94-2wf4) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-q4gf-8mx6-v5v3) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-q8wf-6r8g-63ch) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-vfv6-92ff-j949) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-wfc6-r584-vfw7) dependency_analyzer · 95%
medium
Vulnerable dependency: next-auth@4.24.13 (GHSA-7rqj-j65f-68wh) dependency_analyzer · 95%
medium
Vulnerable dependency: next-auth@4.24.13 (GHSA-x445-f3h2-j279) dependency_analyzer · 95%
medium
Vulnerable dependency: next-auth@4.24.13 (GHSA-xmf8-cvqr-rfgj) dependency_analyzer · 95%
medium
Vulnerable dependency: fastmcp@2.0.0 (GHSA-5h2m-4q8j-pqpj) dependency_analyzer · 95%
medium
Vulnerable dependency: fastmcp@2.0.0 (GHSA-c2jp-c369-7pvx) dependency_analyzer · 95%
medium
Vulnerable dependency: fastmcp@2.0.0 (GHSA-m8x7-r2rg-vh5g) dependency_analyzer · 95%
medium
Vulnerable dependency: fastmcp@2.0.0 (GHSA-mxxr-jv3v-6pgc) dependency_analyzer · 95%
medium
Vulnerable dependency: fastmcp@2.0.0 (GHSA-rcfx-77hg-w2wv) dependency_analyzer · 95%
medium
Vulnerable dependency: fastmcp@2.0.0 (GHSA-rj5c-58rq-j5g5) dependency_analyzer · 95%
medium
Vulnerable dependency: fastmcp@2.0.0 (GHSA-rww4-4w9c-7733) dependency_analyzer · 95%
medium
Vulnerable dependency: fastmcp@2.0.0 (GHSA-vv7q-7jx5-f767) dependency_analyzer · 95%
medium
Vulnerable dependency: fastmcp@2.0.0 (PYSEC-2026-1364) dependency_analyzer · 95%
medium
Vulnerable dependency: fastmcp@2.0.0 (PYSEC-2026-1365) dependency_analyzer · 95%
medium
Vulnerable dependency: fastmcp@2.0.0 (PYSEC-2026-2474) dependency_analyzer · 95%
medium
Vulnerable dependency: fastmcp@2.0.0 (PYSEC-2026-2475) dependency_analyzer · 95%
medium
Vulnerable dependency: fastmcp@2.0.0 (PYSEC-2026-2476) dependency_analyzer · 95%
medium
Vulnerable dependency: fastmcp@2.0.0 (PYSEC-2026-338) dependency_analyzer · 95%
medium
Vulnerable dependency: pydantic@2.0.0 (GHSA-mr82-8j83-vxmv) dependency_analyzer · 95%
medium
Vulnerable dependency: pydantic@2.0.0 (PYSEC-2026-1812) dependency_analyzer · 95%
info
package.json metadata manifest_parser · 100%
info
pyproject.toml metadata manifest_parser · 100%
info
Transport: streamable-http manifest_parser · 80%
info
Required env vars (14) manifest_parser · 80%
info
Sandbox failed to start for output poisoning scan output_poisoning · 100%
medium
Permission: network access detected permission_analyzer · 90%
low
Tool 'read_node' has no annotations annotation_checker · 100%
low
Tool 'search_knowledge' has no annotations annotation_checker · 100%
low
Tool 'list_domains' has no annotations annotation_checker · 100%
low
Tool 'get_open_questions' has no annotations annotation_checker · 100%
low
Tool 'get_entry_parameters' has no annotations annotation_checker · 100%
low
Tool 'get_domain_stats' has no annotations annotation_checker · 100%
low
Tool 'get_cross_references' has no annotations annotation_checker · 100%
low
Tool 'register_agent' has no annotations annotation_checker · 100%
low
Tool 'submit_proposal' has no annotations annotation_checker · 100%
medium
OAuth implementation without PKCE auth_checker · 75%
info
Sandbox failed to start for behavioral verification behavioral_verifier · 100%
medium
Suspicious package name: react-dom dependency_analyzer · 60%
medium
Vulnerable dependency: next@16.1.6 (GHSA-267c-6grr-h53f) dependency_analyzer · 95%
medium
Vulnerable dependency: next@16.1.6 (GHSA-26hh-7cqf-hhc6) dependency_analyzer · 95%
info
Tool: read_node manifest_parser · 90%
info
Tool: search_knowledge manifest_parser · 90%
info
Tool: list_domains manifest_parser · 90%
info
Tool: get_open_questions manifest_parser · 90%
info
Tool: get_entry_parameters manifest_parser · 90%
info
Tool: get_domain_stats manifest_parser · 90%
info
Tool: get_cross_references manifest_parser · 90%
info
Tool: register_agent manifest_parser · 90%
info
Tool: submit_proposal manifest_parser · 90%
low
Permission: filesystem access detected permission_analyzer · 90%
low
Permission: env_vars access detected permission_analyzer · 90%
info
SBOM generated: 357 components sbom_generator · 100%
medium
No build provenance detected (SLSA L0) slsa_assessor · 90%