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 SynthFlowAI/AnthropicPlugin --skill safe-agent-changegit clone --depth 1 https://github.com/SynthFlowAI/AnthropicPluginWrote 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/synthflowai/anthropicplugin/safe-agent-change)<a href="https://agentmods.dev/skills/synthflowai/anthropicplugin/safe-agent-change"><img src="https://agentmods.dev/badge/skills/synthflowai/anthropicplugin/safe-agent-change/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/synthflowai/anthropicplugin/safe-agent-change"><img src="https://agentmods.dev/badge/skills/synthflowai/anthropicplugin/safe-agent-change.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 | $0.00133 | $0.02131 |
| Opus 5.5 | $0.00053 | $0.00852 |
| Sonnet 5.5 | $0.00027 | $0.00426 |
| Haiku 4.5 | $0.00013 | $0.00213 |
Grade A, and why
safe-agent-change 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 5d 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Safe Agent Change
Purpose
Change a live agent without breaking what already works. Every edit goes through the same loop:
baseline → draft → diff → approval → publish → verify (→ rollback if verify fails)
Agents that skip steps in this loop are where most production incidents start: attached actions silently lost on republish, a prompt from one agent written over another, a failed update retried on top of a draft that had in fact been saved, or a draft published that changed more than the user asked for.
This playbook runs on the Synthflow MCP tools, whether they come from the plugin's bundled server or the official Synthflow connector.
Tools this uses
get_current_workspace,list_subaccounts— confirm which workspace the agent lives in.list_agents,search_agents_by_prompt— find the agent when the user hasn't given amodel_id.get_agent— current settings and prompt.get_agent_actions— the actions attached to the agent (the baseline you must preserve).list_agent_versions— published versions and any existing draft.update_agent— saves changes as a draft. Nothing goes live.get_agent_version_diff— what the draft changes compared to live.publish_agent_draft— makes the draft live.rollback_agent_version— restores a previously published version.list_voices— required before any voice change.
Some tool descriptions mention show_version_diff. That UI tool doesn't exist over MCP — show the diff to the user yourself, in the chat.
Step 0 — Pin the target
- Workspace. If the agent may live in a subaccount, call
list_subaccountsand pass that subaccount'sworkspace_idon every call below. Never guess or reuse aworkspace_idfrom elsewhere — tools reject any workspace that isn't the current one or one of its subaccounts. - Agent. Resolve the exact
model_id. If the user named an agent, uselist_agents(orsearch_agents_by_prompt) and confirm the match when more than one agent could fit. Never guess. - Environment. If the user keeps separate dev/test and production agents, confirm which one this change is for. Default to the test agent when one exists and the user hasn't said otherwise.
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.
- 5d ago First seen · 129 lines · 133 tokens per session scan A 036d8114fa21
safe-agent-change is a skill published in the GitHub repository SynthFlowAI/AnthropicPlugin (0 stars, last pushed 5d ago), licensed MIT. It adds 133 tokens to every session and 2,131 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-11-09.
safe-agent-change compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| safe-agent-changeSynthFlowAI/AnthropicPlugin | Skill | 0 | 5d ago | MIT | A | 133 | Claude Code |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 80k | 8d ago | MIT | A | 200 | Claude Code, Codex |
| next-cache-components-adoptionvercel/next.js | Skill | 144k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |