io.github.dingdawg/dingdawg-governance
NPM · DINGDAWG-GOVERNANCE · SCANNED AUG 3
Universal governance layer for AI agents. MCP-native, fail-closed, audit proofs and rollback.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →
Supply Chain Security86
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency32
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: the license (BUSL-1.1) isn't a recognized OSI-approved license. See how to fix → Fail
- Actively maintained (last published 18 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability61
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 894 tokens (~127/item across 7 items; 7 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
- Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · dingdawg-governance
claude mcp add dingdawg-dingdawg-governance -- npx -y dingdawg-governance
codex mcp add dingdawg-dingdawg-governance -- npx -y dingdawg-governance
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"dingdawg-dingdawg-governance": {
"type": "local",
"command": [
"npx",
"-y",
"dingdawg-governance"
],
"enabled": true
}
}
} openclaw mcp add dingdawg-dingdawg-governance --command npx --arg -y --arg dingdawg-governance
mcp_servers:
dingdawg-dingdawg-governance:
command: "npx"
args: ["-y", "dingdawg-governance"] {
"mcpServers": {
"dingdawg-dingdawg-governance": {
"command": "npx",
"args": [
"-y",
"dingdawg-governance"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 2 Aug 26 +10
- Provenance: fail → unverified ▼ security
- Install scripts: pass → unverified ▼ security
- Known CVEs: unverified → partial ▲ security
- License: fail → unverified ▼ functional
- Maintenance: pass → unverified ▼ functional
- Dependency health: unverified → partial ▲ functional
- Stability: unverified → 0.23 ▲ functional
- Licence: BUSL-1.1 functional
- 1 Aug 26 −10
- Known CVEs: partial → unverified ▼ security
- Dependency health: partial → unverified ▼ functional
- 31 Jul 26 +37
- Provenance: unverified → fail ▼ security
- Malware scan: pass → unverified ▼ security
- Install scripts: unverified → pass ▲ security
- Security disclosure: unverified → fail ▼ functional
- License: unverified → fail ▼ functional
- Dependency health: partial → unverified ▼ functional
- Tool coverage: unverified → 100 ▲ functional
- Maintenance: unverified → pass ▲ functional
- Licence: BUSL-1.1 functional
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 29 Jul 26 −20
- Tool coverage: 100 → unverified ▼ functional
- Security disclosure: fail → unverified ▼ functional
- Dependency health: unverified → partial ▲ functional
- First check of Schema quality: unverified functional
- 27 Jul 26 46
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 3 Aug 2026 · Analysed npm/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 94 packages
94 packages in the resolved dependency tree · 94 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
audit_trail ~91
Get the governance audit trail. Returns governance receipts from local storage or cloud API. Free to use.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | — | Agent ID to get all governed actions for |
| limit | number | — | Maximum number of records to return (default 10) |
| receipt_id | string | — | Receipt ID from a govern_action call |
| time_range | string | — | Time range for audit trail lookup |
No output schema declared.
No examples provided.
compliance_check ~116
Quick compliance check against common AI governance frameworks. Free tier: 10 checks per day. Evaluates against EU AI Act, Colorado AI Act — Revised (SB26-189 / ADMT, eff. Jan 1 2027), NIST AI RMF, and ISO 42001.
| Name | Type | Req | Description |
|---|---|---|---|
| deployment_stage | string | — | Current deployment stage |
| framework | string | — | Framework to check against (default: all) |
| system_description | string | yes | Describe your AI system: what it does, data sources, decision scope |
No output schema declared.
No examples provided.
get_spend_report ~123
Get LLM spend breakdown by agent, model, and provider. Filter by agent and date range. Returns total cost, call count, and per-model breakdown.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | — | Filter by agent ID (omit for all agents) |
| from_date | string | — | ISO 8601 start date (e.g. '2026-04-01T00:00:00Z') |
| to_date | string | — | ISO 8601 end date (e.g. '2026-04-30T23:59:59Z') |
No output schema declared.
No examples provided.
get_verified_badge ~98
Returns the 'Powered by DingDawg Verified' badge payload for a governed action receipt. Creators can opt-in to emit this badge in agent output — every governed action receipt includes a verifiable badge URL, turning governed agents into DingDawg marketing channels. Pass the receipt_id returned by govern_action.
| Name | Type | Req | Description |
|---|---|---|---|
| receipt_id | string | yes | Receipt ID returned by a govern_action call (e.g. 'gov_abc123_def456') |
No output schema declared.
No examples provided.
govern_action ~173
Govern any AI agent action. Performs capability check + policy evaluation + generates a governance receipt. Returns a receipt proving the action was governed. When API key is set, uses cloud API with local fallback.
| Name | Type | Req | Description |
|---|---|---|---|
| action_description | string | yes | Human-readable description of what the agent is about to do |
| action_type | string | yes | Type of action (e.g., 'send_email', 'make_purchase', 'modify_data', 'api_call') |
| agent_id | string | yes | Identifier for the AI agent performing the action |
| context | object | — | Additional context key-value pairs for policy evaluation |
| risk_tier | string | — | Self-assessed risk level of this action |
| target_resource | string | — | The resource being acted upon (e.g., 'user_database', 'email_server', 'payment_api') |
No output schema declared.
No examples provided.
meter_llm_call ~166
Track the cost of an LLM API call and enforce budget limits. Call this after every LLM API response. Returns real-time cost, cumulative spend, and budget status. Free to use — no API key required.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | yes | Unique identifier for the agent making the LLM call |
| completion_tokens | integer | yes | Number of output/completion tokens generated |
| model | string | yes | Model name (e.g. 'gpt-4o', 'claude-sonnet-4-6', 'gemini-2.0-flash') |
| prompt_tokens | integer | yes | Number of input/prompt tokens used |
| provider | string | yes | LLM provider |
| task_id | string | — | Optional task identifier for grouping related calls |
No output schema declared.
No examples provided.
set_llm_budget ~127
Set a USD spend limit for an agent. The meter will return budget_status: 'warning' at the threshold and 'exceeded' when the limit is hit. Limits reset daily or monthly.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | yes | Agent ID to set budget for |
| limit_usd | number | yes | Maximum USD spend allowed in the period (e.g. 10.00 for $10/day) |
| period | string | yes | Reset cadence |
| warning_threshold | number | — | Fraction of limit that triggers 'warning' status (default: 0.8 = 80%) |
No output schema declared.
No examples provided.