io.github.agenson-horrowitz/agent-output-guard
NPM · @AGENSON-HORROWITZ/AGENT-OUTPUT-GUARD-MCP · SCANNED AUG 3
Validate and verify data from other agents before acting on it. Zero LLM costs.
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 Security87
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (96 of 100), 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 (96 of 100), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
- 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
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 122 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability70
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 521 tokens (~104/item across 5 items; 5 tools + 0 resources), lean.Pass
- 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 · @agenson-horrowitz/agent-output-guard-mcp
claude mcp add agenson-horrowitz-agent-output-guard -- npx -y @agenson-horrowitz/agent-output-guard-mcp
codex mcp add agenson-horrowitz-agent-output-guard -- npx -y @agenson-horrowitz/agent-output-guard-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"agenson-horrowitz-agent-output-guard": {
"type": "local",
"command": [
"npx",
"-y",
"@agenson-horrowitz/agent-output-guard-mcp"
],
"enabled": true
}
}
} openclaw mcp add agenson-horrowitz-agent-output-guard --command npx --arg -y --arg @agenson-horrowitz/agent-output-guard-mcp
mcp_servers:
agenson-horrowitz-agent-output-guard:
command: "npx"
args: ["-y", "@agenson-horrowitz/agent-output-guard-mcp"] {
"mcpServers": {
"agenson-horrowitz-agent-output-guard": {
"command": "npx",
"args": [
"-y",
"@agenson-horrowitz/agent-output-guard-mcp"
]
}
}
} 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 +32
- Provenance: unverified → fail ▼ security
- Known CVEs: unverified → partial ▲ security
- Install scripts: unverified → pass ▲ security
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Stability: unverified → 0.23 ▲ functional
- Schema quality: unverified → good ▲ functional
- Licence: MIT functional
- 1 Aug 26 +8
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 31 Jul 26 +4
- Malware scan: pass → unverified ▼ security
- Tool coverage: unverified → 100 ▲ functional
- 30 Jul 26 −22
- Tool coverage: 100 → unverified ▼ 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/@agenson-horrowitz/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 96 packages
96 packages in the resolved dependency tree · 96 deprecated · 30 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.
cross_reference_check ~87
Compare data from multiple agents for consistency and detect discrepancies. Essential for multi-agent coordination. Returns consistency score and detailed comparison.
| Name | Type | Req | Description |
|---|---|---|---|
| comparison_fields | array | — | Specific fields to compare across datasets |
| primary_data | — | yes | Primary data object to verify |
| reference_data | array | yes | Array of reference data from other agents |
| tolerance_level | string | — | How strict to be with differences |
No output schema declared.
No examples provided.
detect_hallucination_markers ~104
Scan agent output for common hallucination patterns, uncertainty markers, and fabrication indicators. Critical for multi-agent reliability. Returns detailed analysis and confidence score.
| Name | Type | Req | Description |
|---|---|---|---|
| content_type | string | — | Type of content being analyzed for context-aware detection |
| sensitivity_level | string | — | Detection sensitivity (high = more conservative) |
| source_agent | string | — | Identifier of the agent that generated this text |
| text | string | yes | Text output from another agent to analyze |
No output schema declared.
No examples provided.
output_consistency_score ~111
Calculate overall consistency score for agent output including internal logic, format consistency, and reliability indicators. Returns comprehensive reliability assessment.
| Name | Type | Req | Description |
|---|---|---|---|
| context | string | — | Context or prompt that generated this output |
| expected_format | object | — | Expected structure/format of the output |
| historical_outputs | array | — | Previous outputs from same agent for pattern analysis |
| output | — | yes | Complete output from an agent (text, data, or structured response) |
| source_agent | string | — | Agent identifier for tracking reliability over time |
No output schema declared.
No examples provided.
validate_data_freshness ~119
Check if data from another agent is recent and valid based on timestamps, staleness indicators, and expected update frequencies. Prevents acting on outdated information.
| Name | Type | Req | Description |
|---|---|---|---|
| data | — | yes | Data object to check for freshness |
| expected_update_frequency | string | — | How often this data should be updated |
| max_age_hours | number | — | Maximum acceptable age in hours |
| source_agent | string | — | Agent that provided this data |
| timestamp_field | string | — | Field name containing timestamp (e.g., "created_at", "updated_at") |
No output schema declared.
No examples provided.
verify_json_schema ~100
Validate JSON data from another agent against expected schema. Essential for preventing malformed data propagation in multi-agent workflows. Returns validation status, errors, and confidence score.
| Name | Type | Req | Description |
|---|---|---|---|
| data | — | yes | JSON data received from another agent |
| schema | object | yes | Expected JSON schema for validation |
| source_agent | string | — | Identifier of the agent that provided this data (for audit trail) |
| strict_validation | boolean | — | Enable strict validation mode (fails on additional properties) |
No output schema declared.
No examples provided.