agent-safety: Design & UI for AI Agents | OpenAgentSkill

Overview

Use when bounding an LLM agent that already runs — scoping its task domain, gating tools to least privilege, defending against prompt injection in untrusted web/email/RAG text, requiring human approval on irreversible actions, capping runtime and cost, or triaging what it already did. NOT building the loop, tools, or RAG (that is `building-agents`).

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Agent safety

You are the security review for an agent's agency, not for its code. The loop works, tools are wired, memory persists — your job is to make that autonomy bounded. If you want to review ordinary endpoints, auth, or secrets handling, that is ../secure-coding/SKILL.md — this skill is the Agentic Top 10, the risks that exist only because a model has tools and autonomy. If the loop or tools do not exist yet, that is ../building-agents/SKILL.md. You arrive after both.

references/threat-model.md carries the OWASP Agentic Top 10 2026 risks mapped to the controls below, the pre-ship guardrail checklist, and the incident-triage flow for "the agent did X" — open it when you are reviewing before ship or reconstructing an incident.

The ownership split

Agent security splits into four layers — Model · Harness · Tools · Environment. The model provider owns only the Model layer (alignment, refusals). Everything else is yours: the Harness (loop, memory, context assembly), the Tools (what the agent can do), and the Environment (creds, network, blast radius). Do not outsource a layer you own to "the model is aligned."

Three excesses cause almost every agentic incident. Cut all three:

Excessive functionality — tools the task never needs.
Excessive permissions — broader scopes/creds than the tool needs.
Excessive autonomy — acting without checking back when it should.

The operating principle is least agency: autonomy is earned per task, not defaulted.

Scope limits

Declare the allowed task domain as a hard boundary in the system prompt. Why: an undeclared scope is an infinite scope; "you are a refund assistant; you do not touch payroll" is a constraint a reviewer can check.
Deny by default — the agent starts with zero tools. Each tool earns its place by a task justification. Why: an opt-out tool list grows; an opt-in list stays minimal.
Segregate the instruction channel from the data channel. System/developer prompt = trusted instructions. Everything the agent reads at runtime = data, never instructions. Why: this single boundary is what stops indirect injection (LLM01).

Tool gating / least agency

Give every tool a profile: read / write / exec / send, the exact resources it may touch, and an allowlist (never a wildcard). Block destructive flags and secret paths at the tool boundary, not in the prompt — the prompt is advisory, the boundary is enforced.

# Bad: one wildcard tool = unbounded blast radius, runs anything the loop emits
def run_shell(cmd: str) -> str:
    return subprocess.run(cmd, shell=True, capture_output=True, text=True).stdout

# Good: narrow tool, allowlisted root, denied patterns, no shell
ALLOWED_ROOT = pathlib.Path("/srv/agent/workspace").resolve()
DENY = ("*.key", "*.pem", "*secret*", "*.env", "id_rsa*")

def read_file(path: str) -> str:
    p = (ALLOWED_ROOT / path).resolve()
    if not p.is_relative_to(ALLOWED_ROOT):           # no traversal out of scope
        raise PermissionError("path outside workspace")
    if any(p.match(g) for g in DENY):                # never read secrets
        raise PermissionError("denied pattern")
    return p.read_text()

Issue task-scoped, short-lived tokens — not the session's broad creds. A credential should be valid only for the specific tool and the duration of one task. Why: a hijacked loop cannot reuse a session-wide token it never held.
Prefer read-only by default; writes/sends/exec are separate, gated tools. Why: most steps only need to read, so most steps should be unable to mutate anything.

Injection defense

Treat all external data as untrusted: user messages, retrieved documents, API responses, emails, web pages, other agents' output. Sanitize and delimit before it enters context, and never let external text reach a privileged tool unmediated.

Source	Trust level	Required mediation before it can act
System / developer prompt	Trusted	none (this is the only instruction channel)
End-user chat message	Untrusted	delimit; treat as data, not commands
Retrieved RAG / KB document	Untrusted	delimit; strip instruction-like spans
Fetched web page / API JSON	Untrusted	parse to schema; no raw text → tool args
Inbound email / ticket body	Untrusted	delimit; HITL on any action it requests
Another agent's message	Untrusted	same as external user input

# Bad: retrieved chunk flows straight into a privileged action
chunk = retriever.search(q)[0].text          # attacker-controlled doc
agent.call_tool("send_email", to=extract_to(chunk), body=chunk)

# Good: external content is quarantined data; the action is schema-validated + gated
chunk = retriever.search(q)[0].text
ctx = f"<retrieved untrusted>\n{chunk}\n</retrieved untrusted>"   # delimited, labeled
proposal = agent.draft("send_email", context=ctx)                # model proposes
args = SendEmail.model_validate(proposal.args)                   # schema or reject
if args.to_domain not in ALLOWED_DOMAINS:                        # exfil guard
    raise PermissionError("recipient outside allowlist")
require_human_approval("send_email", args)                       # irreversible → HITL

Validate every tool-call argument against a strict schema before execution. Why: a schema rejects the surprise field, encoded payload, or off-allowlist recipient injection produces.
Watch for exfiltration shapes — unexpected outbound URLs, base64 blobs, recipients outside the allowlist. Why: data theft is the common payload of a successful injection.

Human-in-the-loop by risk class

Do not approve every action — reported ~93% of permission prompts get approved without being read, so blanket prompting trains a rubber stamp. Gate by risk class, keyed on reversibility × blast radius. Bind each approval to the exact parameters with a short-lived token so the approved action cannot be swapped after the click.

Action type (examples)	Reversible?	Blast radius	Control
Read file, search KB, fetch page	n/a	none	auto
Write to scratch workspace, internal draft	yes	local	log-only
Mutate prod DB, deploy, change config	hard	system	approve (HITL)
Send email/payment to external party, post live	no	external	approve (HITL)
Delete backups, rotate prod creds, mass-delete	no	catastrophic	block (or step-up auth)

Step up for the top row — high-value irreversible actions deserve fresh auth, not the ambient session. Why: a hijacked session should not also hold the keys to the worst action.

Memory hygiene

Validate and sanitize content before it is stored. Why: memory poisoning persists across sessions (OWASP Agentic T1) — unlike session-scoped injection, a poisoned memory re-attacks every future run until purged.
Isolate memory per user and per session; do not let one user's writes color another's reads. Why: shared memory is a cross-tenant injection channel.
Expire entries and cap memory size; redact PII (SSN, cards, API keys) before persist. Why: stale instructions and leaked secrets both age into liabilities.

Runtime kill-switches

A looping or hijacked agent must hit a wall on its own. Set hard caps, fail closed:

Tool-call rate cap (e.g. ~30 calls/min) — runaway loops trip it before they do damage.
Cost cap per session (e.g. ~$10) — a wallet attack stops at a known ceiling.
Loop / step cap — a fixed max iterations kills the infinite plan.
Wall-clock timeout — a stuck agent is terminated, not left running.

Log every tool call (arguments redacted) and alert on repeated approval-bypass attempts.

Anti-patterns

Anti-pattern	Why it bites	Do instead
Approve every action	~93% rubber-stamped; the real risky one slips through	Gate by risk class; HITL only on irreversible/external
One broad session token shared by all tools	Hijacked loop reuses it everywhere	Task-scoped, short-lived per-tool tokens
Trust RAG / fetched / email content	Indirect injection (LLM01) becomes direct tool execution	Delimit as untrusted data; mediate before any tool
Wildcard `run_shell(cmd)` tool	Unbounded blast radius	Narrow tools, allowlisted resources, denied patterns
Raw external text piped into tool args	Attacker controls the action's parameters	Schema-validate args; allowlist recipients/domains
Scope/limits stated only in the prompt	Prompt is advisory; the model can be talked out of it	Enforce at the tool/harness boundary
No loop / cost / rate cap	A hijacked or looping agent runs until it runs out of money	Hard fail-closed kill-switches
Redact PII only in the UI	The secret was already written to memory/logs	Redact before persistence, at the source

View source ↗

File metadata

name: agent-safety
description: "Use when bounding an LLM agent that already runs — scoping its task domain, gating tools to least privilege, defending against prompt injection in untrusted web/email/RAG text, requiring human approval on irreversible actions, capping runtime and cost, or triaging what it already did. NOT building the loop, tools, or RAG (that is `building-agents`)."
tags: [agent-security, guardrails, prompt-injection, least-privilege, owasp-agentic]
recommends: [building-agents, secure-coding, agent-eval]
origin: risco

View original text

---
name: agent-safety
description: "Use when bounding an LLM agent that already runs — scoping its task domain, gating tools to least privilege, defending against prompt injection in untrusted web/email/RAG text, requiring human approval on irreversible actions, capping runtime and cost, or triaging what it already did. NOT building the loop, tools, or RAG (that is `building-agents`)."
tags: [agent-security, guardrails, prompt-injection, least-privilege, owasp-agentic]
recommends: [building-agents, secure-coding, agent-eval]
origin: risco
---

# Agent safety

You are the security review for an agent's **agency**, not for its code. The loop works,
tools are wired, memory persists — your job is to make that autonomy *bounded*. If you
want to review ordinary endpoints, auth, or secrets handling, that is
`../secure-coding/SKILL.md` — this skill is the *Agentic* Top 10, the risks that exist only
because a model has tools and autonomy. If the loop or tools do not exist yet, that is
`../building-agents/SKILL.md`. You arrive *after* both.

`references/threat-model.md` carries the OWASP Agentic Top 10 2026 risks mapped to the
controls below, the pre-ship guardrail checklist, and the incident-triage flow for "the
agent did X" — open it when you are reviewing before ship or reconstructing an incident.

## The ownership split

Agent security splits into four layers — **Model · Harness · Tools · Environment**. The
model provider owns only the Model layer (alignment, refusals). Everything else is yours:
the Harness (loop, memory, context assembly), the Tools (what the agent can *do*), and the
Environment (creds, network, blast radius). Do not outsource a layer you own to "the model
is aligned."

Three excesses cause almost every agentic incident. Cut all three:

- **Excessive functionality** — tools the task never needs.
- **Excessive permissions** — broader scopes/creds than the tool needs.
- **Excessive autonomy** — acting without checking back when it should.

The operating principle is **least agency**: autonomy is earned per task, not defaulted.

## Scope limits

- **Declare the allowed task domain as a hard boundary in the system prompt.** Why: an
  undeclared scope is an infinite scope; "you are a refund assistant; you do not touch
  payroll" is a constraint a reviewer can check.
- **Deny by default — the agent starts with zero tools.** Each tool earns its place by a
  task justification. Why: an opt-out tool list grows; an opt-in list stays minimal.
- **Segregate the instruction channel from the data channel.** System/developer prompt =
  trusted instructions. Everything the agent reads at runtime = data, never instructions.
  Why: this single boundary is what stops indirect injection (LLM01).

## Tool gating / least agency

Give every tool a profile: **read / write / exec / send**, the exact resources it may
touch, and an **allowlist** (never a wildcard). Block destructive flags and secret paths
at the tool boundary, not in the prompt — the prompt is advisory, the boundary is enforced.

```python
# Bad: one wildcard tool = unbounded blast radius, runs anything the loop emits
def run_shell(cmd: str) -> str:
    return subprocess.run(cmd, shell=True, capture_output=True, text=True).stdout
```

```python
# Good: narrow tool, allowlisted root, denied patterns, no shell
ALLOWED_ROOT = pathlib.Path("/srv/agent/workspace").resolve()
DENY = ("*.key", "*.pem", "*secret*", "*.env", "id_rsa*")

def read_file(path: str) -> str:
    p = (ALLOWED_ROOT / path).resolve()
    if not p.is_relative_to(ALLOWED_ROOT):           # no traversal out of scope
        raise PermissionError("path outside workspace")
    if any(p.match(g) for g in DENY):                # never read secrets
        raise PermissionError("denied pattern")
    return p.read_text()
```

- **Issue task-scoped, short-lived tokens — not the session's broad creds.** A credential
  should be valid only for the specific tool and the duration of one task. Why: a hijacked
  loop cannot reuse a session-wide token it never held.
- **Prefer read-only by default; writes/sends/exec are separate, gated tools.** Why: most
  steps only need to read, so most steps should be unable to mutate anything.

## Injection defense

Treat **all** external data as untrusted: user messages, retrieved documents, API
responses, emails, web pages, other agents' output. Sanitize and delimit before it enters
context, and **never let external text reach a privileged tool unmediated.**

| Source                         | Trust level | Required mediation before it can act        |
| ------------------------------ | ----------- | ------------------------------------------- |
| System / developer prompt      | Trusted     | none (this is the only instruction channel) |
| End-user chat message          | Untrusted   | delimit; treat as data, not commands        |
| Retrieved RAG / KB document    | Untrusted   | delimit; strip instruction-like spans       |
| Fetched web page / API JSON    | Untrusted   | parse to schema; no raw text → tool args    |
| Inbound email / ticket body    | Untrusted   | delimit; HITL on any action it requests     |
| Another agent's message        | Untrusted   | same as external user input                 |

```python
# Bad: retrieved chunk flows straight into a privileged action
chunk = retriever.search(q)[0].text          # attacker-controlled doc
agent.call_tool("send_email", to=extract_to(chunk), body=chunk)
```

```python
# Good: external content is quarantined data; the action is schema-validated + gated
chunk = retriever.search(q)[0].text
ctx = f"<retrieved untrusted>\n{chunk}\n</retrieved untrusted>"   # delimited, labeled
proposal = agent.draft("send_email", context=ctx)                # model proposes
args = SendEmail.model_validate(proposal.args)                   # schema or reject
if args.to_domain not in ALLOWED_DOMAINS:                        # exfil guard
    raise PermissionError("recipient outside allowlist")
require_human_approval("send_email", args)                       # irreversible → HITL
```

- **Validate every tool-call argument against a strict schema before execution.** Why: a
  schema rejects the surprise field, encoded payload, or off-allowlist recipient injection
  produces.
- **Watch for exfiltration shapes** — unexpected outbound URLs, base64 blobs, recipients
  outside the allowlist. Why: data theft is the common payload of a successful injection.

## Human-in-the-loop by risk class

Do **not** approve every action — reported ~93% of permission prompts get approved without
being read, so blanket prompting trains a rubber stamp. Gate by **risk class**, keyed on
reversibility × blast radius. Bind each approval to the **exact parameters** with a
short-lived token so the approved action cannot be swapped after the click.

| Action type (examples)                          | Reversible? | Blast radius | Control            |
| ----------------------------------------------- | ----------- | ------------ | ------------------ |
| Read file, search KB, fetch page                | n/a         | none         | **auto**           |
| Write to scratch workspace, internal draft      | yes         | local        | **log-only**       |
| Mutate prod DB, deploy, change config            | hard        | system       | **approve (HITL)** |
| Send email/payment to external party, post live | no          | external     | **approve (HITL)** |
| Delete backups, rotate prod creds, mass-delete  | no          | catastrophic | **block** (or step-up auth) |

- **Step up for the top row** — high-value irreversible actions deserve fresh auth, not the
  ambient session. Why: a hijacked session should not also hold the keys to the worst action.

## Memory hygiene

- **Validate and sanitize content before it is stored.** Why: memory poisoning persists
  across sessions (OWASP Agentic T1) — unlike session-scoped injection, a poisoned memory
  re-attacks every future run until purged.
- **Isolate memory per user and per session; do not let one user's writes color another's
  reads.** Why: shared memory is a cross-tenant injection channel.
- **Expire entries and cap memory size; redact PII (SSN, cards, API keys) before persist.**
  Why: stale instructions and leaked secrets both age into liabilities.

## Runtime kill-switches

A looping or hijacked agent must hit a wall on its own. Set hard caps, fail closed:

- **Tool-call rate cap** (e.g. ~30 calls/min) — runaway loops trip it before they do damage.
- **Cost cap per session** (e.g. ~$10) — a wallet attack stops at a known ceiling.
- **Loop / step cap** — a fixed max iterations kills the infinite plan.
- **Wall-clock timeout** — a stuck agent is terminated, not left running.

Log every tool call (arguments redacted) and alert on repeated approval-bypass attempts.

## Anti-patterns

| Anti-pattern                                   | Why it bites                                                   | Do instead                                          |
| ---------------------------------------------- | ------------------------------------------------------------- | --------------------------------------------------- |
| Approve every action                           | ~93% rubber-stamped; the real risky one slips through         | Gate by risk class; HITL only on irreversible/external |
| One broad session token shared by all tools    | Hijacked loop reuses it everywhere                            | Task-scoped, short-lived per-tool tokens            |
| Trust RAG / fetched / email content            | Indirect injection (LLM01) becomes direct tool execution      | Delimit as untrusted data; mediate before any tool  |
| Wildcard `run_shell(cmd)` tool                 | Unbounded blast radius                                        | Narrow tools, allowlisted resources, denied patterns |
| Raw external text piped into tool args         | Attacker controls the action's parameters                     | Schema-validate args; allowlist recipients/domains  |
| Scope/limits stated only in the prompt         | Prompt is advisory; the model can be talked out of it         | Enforce at the tool/harness boundary                |
| No loop / cost / rate cap                       | A hijacked or looping agent runs until it runs out of money   | Hard fail-closed kill-switches                      |
| Redact PII only in the UI                       | The secret was already written to memory/logs                 | Redact before persistence, at the source            |

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
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, shell or command execution
GitHub adoption: 58 GitHub stars
Stars/forks activity: 58 stars, 0 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Open full audit

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Source & usage notes

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: ericrisco/rsc-harness
License: MIT
Version: 1.0.0
Last GitHub push: Aug 30, 2026
Registry updated: Sep 1, 2026
Instruction path: skills/agent-safety/SKILL.md

Version reported in registry metadata; check source releases before relying on it.

Quality

68/100

Promising

Trust

63/100

Sandbox only

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Open install API LLM text format Open manifest Auto-resolve Plan

More details

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      "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, shell or command execution",
      "GitHub adoption: 58 GitHub stars",
      "Stars/forks activity: 58 stars, 0 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "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": 77,
    "risk_level": "risky",
    "risk_label": "Risky",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
      "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, shell or command execution",
      "GitHub adoption: 58 GitHub stars",
      "Stars/forks activity: 58 stars, 0 forks; issue activity unavailable in current metadata"
    ]
  },
  "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": "Design and creative production",
    "scenario": "Design and creative",
    "maintenance": "17d since push",
    "risk": "Risky"
  },
  "alternative_skills": [
    {
      "slug": "emilkowalski-apple-design",
      "name": "Apple Design",
      "url": "https://www.openagentskill.com/skills/emilkowalski-apple-design",
      "stars": 34452,
      "install_command": "npx skills@latest add emilkowalski/skills",
      "trust_score": 94,
      "audit_score": 96
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No major risk signals from current metadata",
    "Audit risk risky exceeds max_risk=medium",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required"
  ],
  "agent_contract": {
    "task_input": "Use agent-safety 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: 71/100 Manual review",
      "Audit: 77/100 Risky",
      "Safety: 33/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "ericrisco-agent-safety (agent-safety)",
      "install_command": "npx skills add ericrisco/rsc-harness --skill agent-safety",
      "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": "ericrisco-agent-safety",
      "task": "Use agent-safety 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/ericrisco-agent-safety",
    "api": "https://www.openagentskill.com/api/agent/skills/ericrisco-agent-safety",
    "audit": "https://www.openagentskill.com/skills/ericrisco-agent-safety/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=ericrisco-agent-safety&task=Use%20agent-safety%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20agent-safety%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20agent-safety%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/ericrisco-agent-safety/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/ericrisco-agent-safety"
  }
}

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Creator: ericrisco
Source: ericrisco/rsc-harness
Indexed by: OpenAgentSkill community index

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