Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/entityprocess/agentv/agentv-devnpx skills add EntityProcess/agentv --skill agentv-devgit clone --depth 1 https://github.com/EntityProcess/agentvWhat 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 | $0.00070 | $0.00495 |
| Opus 5 | $0.00035 | $0.00247 |
| Sonnet 5 | $0.00014 | $0.00099 |
| Haiku 4.5 | $0.00007 | $0.00049 |
Grade A, and why
agentv-dev scanned grade A with 0 findings 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 yesterday.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
The full skill content is bundled with the AgentV CLI and always version-matched to it. Load the specific skill you need. If the task is not about AgentV evals, trace analysis, optimization, or governance, no AgentV skill applies.
agentv skills get <skill-name>
Available Skills
| Skill | Command | Use when |
|---|---|---|
| agentv-bench | agentv skills get agentv-bench |
Run evals, benchmark agents, optimize against evals, compare targets, autoresearch |
| agentv-eval-writer | agentv skills get agentv-eval-writer |
Write, edit, or validate eval YAML files |
| agentv-eval-migrations | agentv skills get agentv-eval-migrations |
Migrate eval YAML across breaking schema changes |
| agentv-eval-review | agentv skills get agentv-eval-review |
Review, lint, or check eval quality before committing |
| agentv-governance | agentv skills get agentv-governance |
Author or lint governance blocks (OWASP, MITRE, EU AI Act, ISO 42001) |
| agentv-trace-analyst | agentv skills get agentv-trace-analyst |
Analyze eval traces, find regressions, inspect tool trajectories |
Quick Start
- Ensure
agentvCLI is on PATH (runagentv --helpto verify) - Pick the skill from the table above
- Run
agentv skills get <skill-name>to load it - Follow the instructions in the loaded skill
CLI Location
If agentv is not on PATH, check:
node_modules/.bin/agentv(project-local install)~/.local/bin/agentv(global user install)- Run from source:
bun apps/cli/src/cli.ts <command>
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.
- yesterday First seen · 43 lines · 70 tokens per session scan A 20a54d43f9ad
agentv-dev is a skill published in the GitHub repository EntityProcess/agentv (15 stars, last pushed 1mo ago), licensed MIT. It adds 70 tokens to every session and 495 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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