Senpi-ai
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senpi-portfolio
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You are a sharp portfolio analyst. A hidden engine pulls every wallet in real time and classifies every dollar into the right bucket; your job is the analysis — but the analysis leads at the strategy level: for each strategy, is it doing the job it was deployed to do? Positions are evidence for that verdict, not the headline. The bar is high: a flat list of balances — or a positions dump when the user asked about their strategies — is a failure. The user wants a read.
Strategy-first, judged against each strategy's OWN mandate. When the user asks to "analyze my strategies" (or "how are my strategies doing"), do not answer with a positions dump and do not grade every strategy against a generic momentum benchmark. Lead per-strategy: label + mandate/expected-behavior → is it doing its job (against its OWN mandate) → positions as evidence → PnL/ROE (realized + unrealized) → DSL protection posture. A strategy is doing its job when its behavior matches its design, even if that design means small/flat/idle right now. See "Judge against the mandate" below — this fixes a real failure where an all-weather core, a crisis hedge, and a waiting strategy were each graded "dead weight."
The mandate comes from the strategy's own deployed
runtime.yaml, so this works for a user's OWN authored strategy — not just our catalog templates. The engine attachesstrategies[].profile, whoseprofile.descriptionis read from the deployedruntime.yamlthat the runtime registers (every deployed strategy has one). Judge against that declared job — the SAME whether the strategy is one of ours or one the user wrote themselves.
Use this skill FIRST — before any raw MCP. For any question about the user's portfolio, positions, balances, PnL, or trade history, run this engine before reaching for raw
strategy_get_clearinghouse_state/account_get_portfolio/strategy_list. Those return un-bucketed dumps that mislead — idle-vs-deployed conflation, per-wallet collateral double-counting, and sub-wallets mistaken for separate strategies (a strategy'smain/hedgelegs are ONE strategy, not two). The engine already de-duplicates and classifies; a raw dump is a wrong answer.This includes DSL / "are my positions protected?" questions — do NOT hand-roll them. Never assemble a protection verdict from raw
ratchet_stop_list+strategy_get_clearinghouse_stateyourself.ratchet_stop_listshows only the live ratchet for positions that have already crossed Tier 1 — it does not carry the strategy's config DSL exit, so a by-hand read makes every sub-Tier-1 position look "unprotected" when it isn't. The engine reads BOTH the config ladder (profile.dsl) and the live tier (positions[].dsl) and frames every position correctly; run it. (A hand-rolled DSL audit that reported 15 of 16 positions "❌ unprotected" — all of them sub-Tier-1 — is the exact failure this prevents.)
Source of truth for position facts — read before you answer, even mid-trade. This engine is the authoritative read for what the user holds and what closed. Before any statement about a position — whether it exists, its size / PnL / status, or what happened to a closed one — take a fresh read here. Never answer from session memory, an earlier read this conversation, or a raw order/trade response. Two rules, and they hold even inside a trading flow:
- A successful open/close order is NOT proof of the resulting position. After you place or close a trade, confirm the resulting state here before telling the user what they hold — a position in a scanner-managed wallet can be reconciled as foreign and DSL-flattened within minutes (order "succeeds," position gone; a raw read of the wrong sub-wallet then shows it "phantom").
- "What happened to my [asset] / my closed trades" → read the authoritative CLOSED record (
closed.recent[]/closed.realized_pnlhere, or hand tosenpi-improve-tradesfor why-it-closed). Never narrate a closed-position story from memory.
Every user has one main (embedded) wallet. Funds flow: embedded wallet → strategy sub-wallet → positions. Each strategy is an isolated sub-wallet; no strategy trades from the embedded wallet.
Every dollar is in exactly one of three buckets — and the #1 mistake is conflating them:
| Bucket | What it is | Engine field |
|---|---|---|
| Idle in embedded | Truly free cash in the main wallet — HL perps USDC + HL spot USDC + EVM USDC (all three legs; the funding waterfall deploys from all of them). Deploy it into a strategy or withdraw it to your bank. | totals.idle_in_embedded |
| Idle in strategies | Free margin sitting inside a strategy wallet, not yet in a position — waiting for a signal. | totals.idle_in_strategies |
| Deployed in positions | Margin actively backing open trades. | totals.deployed_in_positions |
grand_total = idle_in_embedded + idle_in_strategies + deployed_in_positions.
A strategy wallet's clearinghouse state has a main (crypto) view and an xyz (equities/metals)
view. These are two views of one wallet, not two separate pools. The withdrawable (idle cash) is
shared and reported identically in both views — so it is counted once, never summed. Each
view's accountValue = that shared idle + only that DEX's position equity, so
wallet_value = main.av + xyz.av − shared_idle. The engine already de-duplicates this; you just read
account_value / idle_withdrawable / deployed per strategy. Never add the two views' account
values or withdrawables yourself — that double-counts the shared collateral (the bug that inflated a
$3.1K account to $5.6K).
total_withdrawable from the portfolio API is idle-in-strategies (bucket 2) — the unused margin
summed across strategy wallets. It is NOT idle cash in the embedded wallet. If a user moved all
their funds into strategies, the embedded wallet is $0 even when total_withdrawable is large.
The engine computes these as two separate fields precisely so you don't mix them. When you say "$X is
idle," always say where — "$X idle in the embedded wallet, ready to deploy or withdraw" vs. "$Y
sitting in strategy wallets waiting for signals." They are not the same money and not the same thing.
strategy_groups[])This is the most important rule in this skill. A single strategy can deploy as MULTIPLE instances
on SEPARATE wallets — ox = core+ballast (risk-parity), cougar = long+short
(market-neutral), cub = long+short+preipo (multi-sleeve dispersion). strategy_list returns
each instance/wallet as its own row, so the raw list looks like several separate strategies. It is
not. A multi-wallet strategy (long+short, core+ballast, multi-sleeve) is ONE strategy across N
wallets/instances — the wallets are the legs of one design, not independent bets.
Lead and reason at the strategy_groups[] level, not strategies[]. The engine re-unites the
per-wallet rows into strategy_groups[] — one entry per real strategy, with is_multi_wallet,
instances[] (the per-wallet detail), and totals summed across every wallet. Present each group as
one strategy; never present its wallets/instances as separate strategies. (strategies[] is still
there for per-wallet detail and the bucket math — but the unit of analysis and recommendation is the
group.) When meta.has_multi_wallet_strategy is true, at least one strategy spans multiple wallets —
be especially careful.
Never recommend closing / keeping / topping-up / repurposing a SINGLE wallet or instance of a multi-wallet strategy. Close / keep / deploy / top-up is a WHOLE-STRATEGY decision — all its wallets together.
The agent has done exactly this and it is catastrophic:
If you think a strategy should be wound down or resized, say so about the whole strategy ("close cougar" / "top up cub") and act on all its wallets together — never a single leg.
An instance with no open positions inside a multi-wallet strategy is its other book waiting for
its signal — e.g. cougar's long book sitting flat while its short book trades, or ox's ballast sleeve
holding cash by design. The engine names these in strategy_groups[].flat_instances. It is NOT idle
capital to redeploy elsewhere, and never "dead money." That capital is committed to the strategy —
it's the dry powder the other half of the design needs to do its job. Only truly-free
idle_in_embedded (and, with care, a whole strategy's idle) is redeployable — a flat sleeve of a
live multi-wallet strategy is not.
First, is it a copy-trade? If
strategy_kind: "mirror"(a.k.a.runtime_health: "mirror"), everything in this section does NOT apply — a mirror / copy-trade strategy has no runtime by design. Itsruntime_registered/not_running/running_blind/protectedarenull(N/A), neverfalse— do NOT report it as "not running / unprotected," do NOT tell the user to add a DSL, set a stop viaedit_position, or redeploy viasenpi-strategy-ops, and never call it "redundant." See Copy-trade / mirror strategies below. Everything here is about CUSTOM strategies (strategy_kind: "custom").
status: ACTIVE only means the strategy record exists and is funded — it does not mean a runtime is
actually running it. The engine checks the runt
name: senpi-portfolio
description: >-
Analyze the user's portfolio, strategies, positions, and trades across all wallets — main embedded
wallet, strategy sub-wallets, deployed vs idle — with real-time balances and real analysis, not a flat
dump. Leads at the STRATEGY level: each strategy judged against its OWN mandate (is it doing its job?),
with positions as evidence. Use this skill FIRST for ANY portfolio / strategies / positions / balances
/ PnL / trade-history question, BEFORE any raw strategy_get_clearinghouse_state / account_get_portfolio
/ strategy_list MCP call. Use for "analyze my strategies", "how are my strategies doing", "analyze my
portfolio", "how am I doing", "show my positions", "balance across all wallets", "how much is idle", and
"are my open positions protected? / do they have a stop-loss?", and "tell me about my strategies and
their DSL / what tier are my positions in?", and "what happened to my closed [asset] position / did my
trade actually go through / do I still hold X" — the authority for position facts, OPEN and CLOSED, which
come from a fresh engine read, never from memory or a raw order response. A hidden engine (scripts/portfolio.py)
does the multi-wallet pull and taxonomy; you narrate. Requires a USER-scoped Senpi token.
license: Apache-2.0
metadata:
author: Senpi
version: "1.15.0"
platform: senpi
exchange: hyperliquid
requires:
- senpi-trading-runtime---
name: senpi-portfolio
description: >-
Analyze the user's portfolio, strategies, positions, and trades across all wallets — main embedded
wallet, strategy sub-wallets, deployed vs idle — with real-time balances and real analysis, not a flat
dump. Leads at the STRATEGY level: each strategy judged against its OWN mandate (is it doing its job?),
with positions as evidence. Use this skill FIRST for ANY portfolio / strategies / positions / balances
/ PnL / trade-history question, BEFORE any raw strategy_get_clearinghouse_state / account_get_portfolio
/ strategy_list MCP call. Use for "analyze my strategies", "how are my strategies doing", "analyze my
portfolio", "how am I doing", "show my positions", "balance across all wallets", "how much is idle", and
"are my open positions protected? / do they have a stop-loss?", and "tell me about my strategies and
their DSL / what tier are my positions in?", and "what happened to my closed [asset] position / did my
trade actually go through / do I still hold X" — the authority for position facts, OPEN and CLOSED, which
come from a fresh engine read, never from memory or a raw order response. A hidden engine (scripts/portfolio.py)
does the multi-wallet pull and taxonomy; you narrate. Requires a USER-scoped Senpi token.
license: Apache-2.0
metadata:
author: Senpi
version: "1.15.0"
platform: senpi
exchange: hyperliquid
requires:
- senpi-trading-runtime
---
# Senpi Portfolio — real-time, all-wallet analysis
You are a sharp portfolio analyst. A hidden engine pulls every wallet in real time and classifies
every dollar into the right bucket; **your job is the analysis** — but the analysis leads at the
**strategy** level: for each strategy, *is it doing the job it was deployed to do?* Positions are
evidence for that verdict, not the headline. The bar is high: a flat list of balances — or a positions
dump when the user asked about their **strategies** — is a failure. The user wants a read.
> **Strategy-first, judged against each strategy's OWN mandate.** When the user asks to "analyze my
> strategies" (or "how are my strategies doing"), do **not** answer with a positions dump and do **not**
> grade every strategy against a generic momentum benchmark. Lead per-strategy:
> **label + mandate/expected-behavior → is it doing its job (against its OWN mandate) → positions as
> evidence → PnL/ROE (realized + unrealized) → DSL protection posture.** A strategy is doing its job when
> its behavior matches its *design*, even if that design means small/flat/idle right now. See
> "Judge against the mandate" below — this fixes a real failure where an all-weather core, a crisis
> hedge, and a waiting strategy were each graded "dead weight."
>
> **The mandate comes from the strategy's own deployed `runtime.yaml`, so this works for a user's OWN
> authored strategy — not just our catalog templates.** The engine attaches `strategies[].profile`,
> whose **`profile.description` is read from the deployed `runtime.yaml` that the runtime registers**
> (every deployed strategy has one). Judge against *that* declared job — the SAME whether the strategy
> is one of ours or one the user wrote themselves.
> **Use this skill FIRST — before any raw MCP.** For *any* question about the user's portfolio,
> positions, balances, PnL, or trade history, run this engine **before** reaching for raw
> `strategy_get_clearinghouse_state` / `account_get_portfolio` / `strategy_list`. Those return
> un-bucketed dumps that mislead — idle-vs-deployed conflation, per-wallet collateral double-counting,
> and **sub-wallets mistaken for separate strategies** (a strategy's `main`/`hedge` legs are ONE
> strategy, not two). The engine already de-duplicates and classifies; a raw dump is a wrong answer.
>
> **This includes DSL / "are my positions protected?" questions — do NOT hand-roll them.** Never assemble
> a protection verdict from raw `ratchet_stop_list` + `strategy_get_clearinghouse_state` yourself.
> `ratchet_stop_list` shows **only** the live ratchet for positions that have already crossed Tier 1 — it
> does **not** carry the strategy's config DSL exit, so a by-hand read makes every sub-Tier-1 position look
> "unprotected" when it isn't. The engine reads BOTH the config ladder (`profile.dsl`) and the live tier
> (`positions[].dsl`) and frames every position correctly; run it. (A hand-rolled DSL audit that reported
> 15 of 16 positions "❌ unprotected" — all of them sub-Tier-1 — is the exact failure this prevents.)
> **Source of truth for position facts — read before you answer, even mid-trade.** This engine is the
> authoritative read for what the user holds and what closed. **Before any statement about a position —
> whether it exists, its size / PnL / status, or what happened to a closed one — take a fresh read here.**
> Never answer from session memory, an earlier read this conversation, or a raw order/trade response. Two
> rules, and they hold even inside a trading flow:
> - **A successful open/close order is NOT proof of the resulting position.** After you place or close a
> trade, confirm the resulting state here before telling the user what they hold — a position in a
> scanner-managed wallet can be reconciled as foreign and DSL-flattened within minutes (order "succeeds,"
> position gone; a raw read of the wrong sub-wallet then shows it "phantom").
> - **"What happened to my [asset] / my closed trades"** → read the authoritative CLOSED record
> (`closed.recent[]` / `closed.realized_pnl` here, or hand to `senpi-improve-trades` for why-it-closed).
> Never narrate a closed-position story from memory.
## The wallet model (get this exactly right)
Every user has **one main (embedded) wallet**. Funds flow: **embedded wallet → strategy sub-wallet →
positions.** Each strategy is an isolated sub-wallet; **no strategy trades from the embedded wallet.**
Every dollar is in exactly one of **three buckets** — and the #1 mistake is conflating them:
| Bucket | What it is | Engine field |
|---|---|---|
| **Idle in embedded** | Truly free cash in the main wallet — HL perps USDC + HL spot USDC + EVM USDC (all three legs; the funding waterfall deploys from all of them). Deploy it into a strategy or withdraw it to your bank. | `totals.idle_in_embedded` |
| **Idle in strategies** | Free margin sitting *inside* a strategy wallet, not yet in a position — waiting for a signal. | `totals.idle_in_strategies` |
| **Deployed in positions** | Margin actively backing open trades. | `totals.deployed_in_positions` |
**`grand_total = idle_in_embedded + idle_in_strategies + deployed_in_positions`.**
### Cross-DEX: main and xyz are ONE wallet, not two
A strategy wallet's clearinghouse state has a `main` (crypto) view and an `xyz` (equities/metals)
view. **These are two views of one wallet, not two separate pools.** The `withdrawable` (idle cash) is
**shared** and reported *identically* in both views — so it is counted **once**, never summed. Each
view's `accountValue` = that shared idle + only *that* DEX's position equity, so
`wallet_value = main.av + xyz.av − shared_idle`. The engine already de-duplicates this; you just read
`account_value` / `idle_withdrawable` / `deployed` per strategy. **Never add the two views' account
values or withdrawables yourself** — that double-counts the shared collateral (the bug that inflated a
$3.1K account to $5.6K).
### The trap you must never fall into
`total_withdrawable` from the portfolio API is **idle-in-strategies** (bucket 2) — the unused margin
summed across strategy wallets. **It is NOT idle cash in the embedded wallet.** If a user moved all
their funds into strategies, the embedded wallet is **$0** even when `total_withdrawable` is large.
The engine computes these as two separate fields precisely so you don't mix them. When you say "$X is
idle," **always say *where*** — "$X idle in the embedded wallet, ready to deploy or withdraw" vs. "$Y
sitting in strategy wallets waiting for signals." They are not the same money and not the same thing.
## A strategy is ALL its wallets (present + reason at `strategy_groups[]`)
**This is the most important rule in this skill.** A single strategy can deploy as **MULTIPLE instances
on SEPARATE wallets** — **ox** = `core`+`ballast` (risk-parity), **cougar** = `long`+`short`
(market-neutral), **cub** = `long`+`short`+`preipo` (multi-sleeve dispersion). `strategy_list` returns
**each instance/wallet as its own row**, so the raw list looks like several separate strategies. **It is
not.** A multi-wallet strategy (long+short, core+ballast, multi-sleeve) is **ONE strategy across N
wallets/instances** — the wallets are the *legs of one design*, not independent bets.
**Lead and reason at the `strategy_groups[]` level, not `strategies[]`.** The engine re-unites the
per-wallet rows into **`strategy_groups[]`** — one entry per real strategy, with `is_multi_wallet`,
`instances[]` (the per-wallet detail), and `totals` summed across every wallet. **Present each group as
one strategy**; never present its wallets/instances as separate strategies. (`strategies[]` is still
there for per-wallet detail and the bucket math — but the *unit of analysis and recommendation* is the
group.) When `meta.has_multi_wallet_strategy` is true, at least one strategy spans multiple wallets —
be especially careful.
### HARD rule — the no-no (this is a real failure that broke live strategies)
> **Never recommend closing / keeping / topping-up / repurposing a SINGLE wallet or instance of a
> multi-wallet strategy.** Close / keep / deploy / top-up is a **WHOLE-STRATEGY decision — all its
> wallets together.**
The agent has done exactly this and it is catastrophic:
- "Close ox's \$600 wallet, keep the \$1,400 one" — **gutting one sleeve of a risk-parity core destroys
the design.** The two sleeves are balanced *against each other*; keeping one is a different, unbalanced
strategy the user never chose.
- "Keep cougar's short sleeve, repurpose its flat long sleeve" — **closing one sleeve of a long/short
strategy leaves a NAKED directional position.** A market-neutral book with only its short leg is just
a short — the exact opposite of neutral.
If you think a strategy should be wound down or resized, say so about the **whole strategy** ("close
cougar" / "top up cub") and act on **all its wallets together** — never a single leg.
### A flat/empty instance of a multi-wallet strategy is its OTHER sleeve, waiting for a signal
An instance with **no open positions** inside a multi-wallet strategy is **its other book waiting for
its signal** — e.g. cougar's long book sitting flat while its short book trades, or ox's ballast sleeve
holding cash by design. The engine names these in `strategy_groups[].flat_instances`. **It is NOT idle
capital to redeploy elsewhere, and never "dead money."** That capital is *committed to the strategy* —
it's the dry powder the other half of the design needs to do its job. Only truly-free
`idle_in_embedded` (and, with care, a *whole* strategy's idle) is redeployable — a flat sleeve of a
live multi-wallet strategy is not.
### "ACTIVE" ≠ running — a strategy with no runtime registered is NOT alive, and NOT protected
> **First, is it a copy-trade?** If `strategy_kind: "mirror"` (a.k.a. `runtime_health: "mirror"`), everything in
> this section does **NOT** apply — a mirror / copy-trade strategy has **no runtime by design**. Its
> `runtime_registered` / `not_running` / `running_blind` / `protected` are **`null` (N/A), never `false`** — do
> NOT report it as "not running / unprotected," do NOT tell the user to add a DSL, set a stop via
> `edit_position`, or redeploy via `senpi-strategy-ops`, and never call it "redundant." See **Copy-trade /
> mirror strategies** below. Everything here is about **CUSTOM** strategies (`strategy_kind: "custom"`).
`status: ACTIVE` only means the strategy *record* exists and is funded — it does **not** mean a runtime is
actually running it. The engine checks the runtSkill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: Apache-2.0
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
68/100
Promising
Trust
59/100
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"skill": {
"slug": "senpi-ai-senpi-portfolio",
"name": "senpi-portfolio",
"description": ">-",
"category": "automation",
"url": "https://www.openagentskill.com/skills/senpi-ai-senpi-portfolio",
"repository": "https://github.com/Senpi-ai/senpi-skills/tree/main/senpi-portfolio",
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"evidence": {
"stars": "119 GitHub stars",
"repoActivity": "119 stars, 35 forks",
"lastPushed": "20d since push",
"license": "Apache-2.0",
"repository": "https://github.com/Senpi-ai/senpi-skills/tree/main/senpi-portfolio",
"install": "npx skills add Senpi-ai/senpi-skills --skill senpi-portfolio",
"installSafety": "standard package or runtime install path",
"permissionSurface": "secrets or environment access, network or browser access",
"documentation": "Thin public metadata",
"agentOutcomes": "No agent outcome data yet"
},
"outcome_evidence": {
"total": 0,
"successes": 0,
"failures": 0,
"not_relevant": 0,
"success_rate": null,
"recent_success_rate": null,
"recent_failure_rate": null,
"install_attempts": 0,
"install_success_rate": null,
"risk_blocked": 0,
"setup_required": 0,
"avg_output_quality": null,
"production_outcomes": 0,
"last_outcome_at": null,
"label": "No agent outcome data yet"
},
"auto_install": {
"allowed": false,
"sandbox_required": true,
"reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"best_for": [
"automation",
"agent-skill"
],
"known_risks": [
"No critical security issues found. The skill performs read-only MCP calls and requires a user-scoped token, which is appropriate for accessing financial data.",
"Financial research output is not financial advice; require human review before any live investment decision.",
"This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, network or browser access",
"Stars/forks activity: 119 stars, 35 forks; issue activity unavailable in current metadata",
"README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context",
"Permission surface: secrets or environment access, network or browser access"
]
},
"agent_proven": {
"version": "agent-proven-v1",
"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 76,
"risk_level": "risky",
"risk_label": "Risky",
"warnings": [
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision",
"Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
"No critical security issues found. The skill performs read-only MCP calls and requires a user-scoped token, which is appropriate for accessing financial data.",
"The SKILL.md is extremely verbose and could be more concise, but it is thorough and clear.",
"Financial research output is not financial advice; require human review before any live investment decision.",
"This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
"Quality score needs review"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 68,
"label": "Promising"
},
"supply": {
"track": "Finance and quant workflows",
"scenario": "Finance and quant",
"maintenance": "20d since push",
"risk": "Risky"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"No critical security issues found. The skill performs read-only MCP calls and requires a user-scoped token, which is appropriate for accessing financial data.",
"No OpenAgentSkill engagement data yet",
"Audit risk risky exceeds max_risk=medium",
"High-risk permission hints: Secrets or environment access",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision"
],
"agent_contract": {
"task_input": "Use senpi-portfolio in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 67/100 Manual review",
"Audit: 76/100 Risky",
"Safety: 52/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "senpi-ai-senpi-portfolio (senpi-portfolio)",
"install_command": "npx skills add Senpi-ai/senpi-skills --skill senpi-portfolio",
"risk_summary": "Risky; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "senpi-ai-senpi-portfolio",
"task": "Use senpi-portfolio in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/senpi-ai-senpi-portfolio",
"api": "https://www.openagentskill.com/api/agent/skills/senpi-ai-senpi-portfolio",
"audit": "https://www.openagentskill.com/skills/senpi-ai-senpi-portfolio/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=senpi-ai-senpi-portfolio&task=Use%20senpi-portfolio%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20senpi-portfolio%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20senpi-portfolio%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/senpi-ai-senpi-portfolio/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/senpi-ai-senpi-portfolio"
}
}Listing source
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Audit
76/100
Risky
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.