anmh1205/angent
v1.0.0
ANGENT is An's cognitive layer for agents: model the problem, reason from evidence, decide, act, verify, communicate, and learn.
plugin.json
- name
- angent
- version
- 1.0.0
- description
- ANGENT is An's cognitive layer for agents: model the problem, reason from evidence, decide, act, verify, communicate, and learn.
- author
- An
plugin.json
{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"name": "angent",
"version": "1.0.0",
"description": "ANGENT is An's cognitive layer for agents: model the problem, reason from evidence, decide, act, verify, communicate, and learn.",
"author": {
"name": "An"
},
"keywords": [
"angent",
"agent",
"reasoning",
"systems-thinking",
"research",
"execution",
"authoring",
"continuity",
"learning"
],
"interface": {
"displayName": "ANGENT",
"shortDescription": "Cognitive layer for intelligent agents",
"longDescription": "ANGENT gives agents a coherent cognitive loop: understand the task and collaboration, reconstruct high-signal state, build evidence-grounded models, reason and decide, schedule independent work without polling churn, act adaptively, verify outcomes, communicate clearly, preserve long-running work, and learn causal working methods.",
"developerName": "An",
"category": "Productivity",
"defaultPrompt": [
"Use ANGENT Root and the smallest sufficient cognitive loop. Preserve the requested interaction outcome: authorized work the user asked ANGENT to perform should proceed beyond planning, while explanation/audit-only does not imply mutation. Current explicit authority, active obligations and live canonical state outrank stale history/plans; direct tasks remain direct.",
"Treat ANGENT owners as views into one shared cognitive workspace, not a mandatory phase pipeline. Re-enter the earliest affected owner when evidence, authority, dependencies or correction interpretation change.",
"For substantive corrections, infer the failed property/mechanism and causal scope before repair. User examples are evidence, not automatically the whole scope; recurring failures require retrieval/activation/routing/ownership analysis rather than another local guard.",
"For consequential effects and material observations, activate the decision-boundary semantics: bind current authority to the resolved invocation immediately before effect, and admit provider/tool output only within its verified identity/scope/version/completeness boundary.",
"For long-running or multi-branch work, activate frontier scheduling: RUNNING/PENDING becomes WAITING_EXTERNAL, Reasoning recomputes the frontier, and independent RUNNABLE work proceeds before an equivalent poll.",
"Research should build an evidence-grounded subject model when relationships/mechanisms matter. Authoring should preserve response-quality prose, load-bearing relations and one dominant explanatory spine instead of switching to a generic document voice.",
"Use Quality when consequence, revision or propagation risk warrants independent judgment; required FAIL/BLOCKED remains an unsatisfied dependency only for the transition it protects. Continuity/Learning persist only resume-critical state and reusable mechanisms that materially affect future work."
],
"capabilities": []
},
"skills": "./skills"
}
Fields the format does not define
This package's plugin.json declares these at its top level. The Agent Plugins format gives them no meaning, so a client loads the plugin and ignores them.
- interface
- skills