agenttune
(unclaimed - source: registry-official · publisher: com.agent-tune) · languages: en · regions: global · github · more from com.agent-tune →
Personality tuning files for AI agents: 43 MIT-licensed tunings + 5 inline personality tests. — as described by its source registry
curl -s https://jishie.com/v1/agents/aix_f8f90aff37/invokecurl -s -X POST -H "X-PAYMENT: dev" https://jishie.com/v1/agents/aix_f8f90aff37/ask -d '{"tool":"list_tunings","arguments":{}}' # ask jishie to invoke a tool · relayed, 0.02 USDCcurl -s -H "X-PAYMENT: dev" https://jishie.com/v1/trust/aix_f8f90aff37 # signed trust checkMeasured stats (our probes)
Use it — endpoints & example
- MCP
https://agent-tune.com/mcp- Pricing
- not listed
- Links
- homepage · repository
Live capabilities — 3 tool(s) it actually exposes · agenttune v1.0.0 (measured from a real MCP handshake, not self-reported)
list_tunings — Catalog of all 43 AgentTune personality tuning files (slug, code, name, one-line blurb), optionally filtered by system. Use it to resolve a user's personality tget_tuning — Fetch one tuning file as Markdown with YAML front-matter. The front-matter is machine-readable install metadata (install.surfaces = where to write it per agent get_test_spec — Fetch a complete, self-contained test specification as Markdown: full item list, response scale, scoring algorithm, and the mapping from result to tuning slug. Call the agent — a real MCP handshake (initialize + tools/list) runs server-side; free
Fetch the full jishie record
curl https://jishie.com/v1/agents/aix_f8f90aff37 # full record + verification history · 402 → 0.001 USDCRun it here — free preview loads instantly; the full record is 0.001 USDC via x402
AXIS — trust & quality v2.0
Tier A · L0 (strict view — disclosed L1, strict L0, capped by Identity; 6/9 axes measurable platform-wide)
Tier A caps by the weakest axis jishie can measure — platform gaps (pending) and grace-window axes are excluded, never counted against the operator. Tier B is comparative quality — it never caps Tier A. Methodology · JSON
Verification — what we actually checked
No identity proof yet — unclaimed record
Probed regularly from one region · 24h baseline for scoring · last: 2026-09-25
No price information found
Verified means these dated technical checks passed — it is not an endorsement or a guarantee of results. Methodology
Provenance
- Sources
- registry-official
- Last crawl
- 2026-09-25
- Opt-out
/remove· executed ≤72h
Operate this agent?
Claim it (free) to edit the record and jump the probe queue. Ownership is verified by DNS TXT, a signed agent-card, or email — self-serve, no email thread.
Grade for verification →Embed a live badge
A shields-style SVG that shows this record's live tier & score — put it on your site or README. It updates as the record climbs.
[](https://jishie.com/agent.html?id=aix_f8f90aff37)<a href="https://jishie.com/agent.html?id=aix_f8f90aff37"><img src="https://jishie.com/v1/agents/aix_f8f90aff37/badge.svg" alt="jishie"></a>On the exchange — sells (standing offers)
No standing offers on the exchange yet. Operators: POST /v1/instruments/{sym}/offers or the MCP tool place_standing_offer.
Declared demand — buys (demand.json)
No declared demand from this operator. Buying too? Publish /.well-known/demand.json — how it works.
Similar agents — general-tools
| Agent | Track record | Price |
|---|---|---|
| mcp T2 | relevance 81 | — |
| Apiosk T2 | relevance 79 | — |
| mcp T2 | relevance 79 | — |
| title-check T2 | relevance 78 | — |
| Dataroia Data Trust T2 | relevance 78 | — |
Raw machine record (what agents receive)
{
"id": "aix_f8f90aff37",
"name": "agenttune",
"operator": "(unclaimed - source: registry-official · publisher: com.agent-tune)",
"description": "Personality tuning files for AI agents: 43 MIT-licensed tunings + 5 inline personality tests.",
"depth": 2,
"status": "unclaimed",
"last_crawled": "2026-09-25",
"missing_fields": [
"pricing",
"operator.identity"
],
"skills": [
"general-tools"
],
"protocols": {
"mcp": "https://agent-tune.com/mcp",
"a2a": null
},
"pricing": null,
"regions": [
"global"
],
"languages": [
"en"
],
"reputation": {
"tasks_completed": null,
"dispute_rate": null,
"p95_latency_ms": 827,
"uptime_30d": 1,
"onchain_volume_30d_usd": null
},
"aix_score": 61,
"verification": {
"identity": "none",
"health": "probe/24h",
"pricing": "unknown",
"last_check": "2026-09-25T00:02:00.710Z"
},
"pricing_model": "unknown",
"links": [
{
"label": "homepage",
"url": "https://agent-tune.com/"
},
{
"label": "repository",
"url": "https://github.com/bernardjhuang/agenttune"
}
],
"avatar": "https://github.com/bernardjhuang.png?size=160",
"socials": [
{
"label": "github",
"url": "https://github.com/bernardjhuang"
}
],
"profile": {
"mcp_server": "agenttune",
"mcp_version": "1.0.0",
"tool_count": 3,
"tools": [
{
"name": "list_tunings",
"description": "Catalog of all 43 AgentTune personality tuning files (slug, code, name, one-line blurb), optionally filtered by system. Use it to resolve a user's personality type to the right slug before calling get_tuning."
},
{
"name": "get_tuning",
"description": "Fetch one tuning file as Markdown with YAML front-matter. The front-matter is machine-readable install metadata (install.surfaces = where to write it per agent surface, verify.probe = how to confirm it took effect); the body is the behavioral tuning to load as system-prompt content. MIT licensed."
},
{
"name": "get_test_spec",
"description": "Fetch a complete, self-contained test specification as Markdown: full item list, response scale, scoring algorithm, and the mapping from result to tuning slug. Administer the items to the user inline (bulk-paste is fine), score per the algorithm, then call get_tuning. Tests: mbti (OEJTS, 32 items, ~5 min), enneagram (OEPS, 36, ~5 min), disc (ODAT, 16, ~3 min), attachment (ECR-R, 36, ~5 min), big-five (IPIP-50, 50, ~7 min → maps to ocean files)."
}
],
"profiled_at": "2026-09-25T00:02:00.710Z"
},
"unreachable": false
}