Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/jfrog/ai-agent-examplesnpx agentmods add skills/jfrog/ai-agent-examples/apptrust-evidence-policiesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jfrog/ai-agent-examples/apptrust-evidence-policies)<a href="https://agentmods.dev/skills/jfrog/ai-agent-examples/apptrust-evidence-policies"><img src="https://agentmods.dev/badge/skills/jfrog/ai-agent-examples/apptrust-evidence-policies/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jfrog/ai-agent-examples/apptrust-evidence-policies"><img src="https://agentmods.dev/badge/skills/jfrog/ai-agent-examples/apptrust-evidence-policies.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00083 | $0.02364 |
| Opus 5 | $0.00042 | $0.01182 |
| Sonnet 5 | $0.00017 | $0.00473 |
| Haiku 4.5 | $0.00008 | $0.00236 |
Grade A, and why
Apptrust Evidence Policies scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
> **API transport:** Prefer **`jf api`** (JFrog CLI 2.100.0+). See [jf-api-patterns.md](../../../platform-features/skills/jfrog-cli/jf-api-patterns.md) (path-only URLs; auth from `jf config`). Examples using **`curl`** w How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
API transport: Prefer
jf api(JFrog CLI 2.100.0+). See jf-api-patterns.md (path-only URLs; auth fromjf config). Examples usingcurlwith$JFROG_URL+ bearer token are fallback when the CLI is missing or below 2.100.0.
Evidence Promotion Policy Creator
Create a JFrog lifecycle policy that validates evidence exists before allowing application promotion, scoped to applications with specific labels.
Prerequisites
Follow jfrog-apptrust-auth.md to authenticate with the JFrog Platform before proceeding.
Desired State
After the workflow completes, the following must be true:
- A template exists (Rego policy) that evaluates evidence for the requested predicate type.
- A rule exists that binds the template to the predicate type (and any extra parameters).
- A policy exists, scoped to the chosen project or application, that blocks or warns on promotion when the evidence check fails.
Validate by fetching the created policy (and its rule/template) via the Unified Policy API and confirming scope, predicate type, and enforcement action match what the user requested.
Workflow
Execute steps in order. Ask only one question at a time. calls errors handling: If you get response "access denied: required entitlement not available" retry the call 3 times
Step 1: Validate Authentication
Follow jfrog-apptrust-auth.md completely. Do not proceed until both authentication and AppTrust entitlement checks pass.
JFROG_URL=$(cat .jfrog/config | jq -r '.url')
JFROG_TOKEN=$(cat .jfrog/config | jq -r '.token')
Step 2: Retrieve All Templates
TEMPLATES=$(curl -s -X GET \
-H "Authorization: Bearer ${JFROG_TOKEN}" \
-H "Content-Type: application/json" \
"${JFROG_URL}/unifiedpolicy/api/v1/templates")
Store the full response for analysis in Step 5.
Step 3: Retrieve All Rules
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/example_rego_input.json 57 KB
- assets/example_rego_simple_type_check.rego 1.1 KB
- assets/example_rego_slsa_type_check.rego 1.7 KB
- assets/example_slsa_evidence.json 1.5 KB
- assets/example_sonar_evidence.json 1.8 KB
- jfrog-apptrust-auth.md 7.2 KB
- README.md 4.5 KB
- rules/jfrog-platform-conventions.mdc 1.7 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 244 lines · 83 tokens per session scan A 1b8118747488
Apptrust Evidence Policies is a skill published in the GitHub repository jfrog/ai-agent-examples (5 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 83 tokens to every session and 2,364 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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