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 skills add antongulin/agenticflow-ai-skills --skill agenticflow-agentgit clone --depth 1 https://github.com/antongulin/agenticflow-ai-skillsWrote 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/antongulin/agenticflow-ai-skills/agenticflow-agent)<a href="https://agentmods.dev/skills/antongulin/agenticflow-ai-skills/agenticflow-agent"><img src="https://agentmods.dev/badge/skills/antongulin/agenticflow-ai-skills/agenticflow-agent/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/antongulin/agenticflow-ai-skills/agenticflow-agent"><img src="https://agentmods.dev/badge/skills/antongulin/agenticflow-ai-skills/agenticflow-agent.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 | $0.00145 | $0.02362 |
| Opus 5 | $0.00072 | $0.01181 |
| Sonnet 5 | $0.00029 | $0.00472 |
| Haiku 4.5 | $0.00015 | $0.00236 |
Grade A, and why
agenticflow-agent 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 10d 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.
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.
How it starts
The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AgenticFlow Agent
A single AI agent with a system prompt, model, optional MCP tool attachments, and an optional code-execution sandbox. Use this when one chat surface + one set of rules is enough.
When NOT to use this skill
If the user needs multiple agents that hand off to each other (research → write, triage → specialist, a pre-built team template), use agenticflow-workforce instead. Don't over-engineer — a support bot with "if billing/refunds/privacy, escalate to email" is one agent, not three.
Orient first
af bootstrap --json
From the response, extract:
auth.project_id— required on agent create (server does not auto-inject for agents, unlike workforces)auth.workspace_id_links.workspace— surface this URL to the user right away: "Your AgenticFlow workspace is at<_links.workspace>— open it anytime to see what I'm building." Anchors a human-first mental model before any mutationmodels[]— use as source of truth for model ids (don't hardcode — they change between CLI releases)agents[]— so you don't duplicate existing work
If data_fresh: false in the response, the backend is degraded — don't mutate. Run af doctor --json --strict and fix auth/network first.
Discovery & health
af changelog --json # What's new in the CLI since your last install
af context --json # AI agent orientation, env vars, invocation guidance
af bootstrap --strict --json # Health check — exits non-zero if backend degraded
af bootstrap returns an invocation block telling you the correct CLI binary to use. af bootstrap --strict exits non-zero when the backend is unhealthy, so CI/automation can abort before mutating against a degraded workspace.
Inspect payload shape before writing
af schema agent --json
af schema agent --field mcp_clients --json # Nested attach shape
af schema agent --field suggested_messages --json # {title, label, action} — NOT strings
af schema agent --field response_format --json # Structured output config
af schema agent --field update --json # Update + null-rejected fields list
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.
- 10d ago First seen · 205 lines · 145 tokens per session scan A 8b20f4c4307c
agenticflow-agent is a skill published in the GitHub repository antongulin/agenticflow-ai-skills (2 stars, last pushed 5d ago), licensed MIT. It adds 145 tokens to every session and 2,362 once invoked, about $0.0007 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 2026-08-31.
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