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 regression-testgit 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/regression-test)<a href="https://agentmods.dev/skills/synthflowai/anthropicplugin/regression-test"><img src="https://agentmods.dev/badge/skills/synthflowai/anthropicplugin/regression-test/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/regression-test"><img src="https://agentmods.dev/badge/skills/synthflowai/anthropicplugin/regression-test.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 | $0.00117 | $0.01795 |
| Opus 5.5 | $0.00047 | $0.00718 |
| Sonnet 5.5 | $0.00023 | $0.00359 |
| Haiku 4.5 | $0.00012 | $0.00179 |
Grade A, and why
regression-test 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Regression Test
Purpose
Catch behaviour regressions with simulated callers before real customers hit them. A simulation is an AI caller with a persona prompt who talks to the agent for up to N turns; each case passes or fails against its success criteria.
The loop:
plan cases → build or reuse a suite → run → collect results → report
Use it before publishing a non-trivial change (see the safe-agent-change skill), after publishing to confirm a fix, or to reproduce a failure found by the call-review skill.
This playbook runs on the Synthflow MCP tools, whether they come from the plugin's bundled server or the official Synthflow connector. Simulations place no phone calls.
Tools this uses
list_agents,get_agent,get_agent_actions— the agent under test, its prompt, and what it can do.list_simulation_suites,list_simulation_cases— reuse existing tests before writing new ones.create_simulation_suite—name,model_id,language(defaulten-US).create_simulation_case—name,prompt(the caller persona),success_criteria(list),call_success_type(allorany),suite_id.execute_simulation_suite—suite_id,target_agent_id,max_turns(10–50, default 20). Returns a session id.get_simulation_session— status, transcripts, and per-criterion results for that run.list_simulations— past runs, filterable by agent, session, and status.get_call_details— when turning a real failed call into a test case.
Step 0 — Pin the target
- Agent and workspace. Resolve the exact
model_id(and subaccountworkspace_idif needed, vialist_subaccounts). Never guess IDs. - What version is being tested. Simulations run against the agent's configuration as Synthflow serves it. Don't assume a run picks up an unpublished draft. To test a change before it reaches production, apply it to a test copy of the agent (a separate agent with the same prompt and actions) and run the suite against that copy.
- Side effects. Simulated conversations can trigger the agent's attached actions — bookings, CRM writes, SMS, webhooks. Check
get_agent_actions. If the agent has actions that write to real systems, tell the user before running, and recommend a test copy with those actions detached or pointed at a sandbox.
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 · 119 lines · 117 tokens per session scan A d62ddff6cadc
regression-test is a skill published in the GitHub repository SynthFlowAI/AnthropicPlugin (0 stars, last pushed 5d ago), licensed MIT. It adds 117 tokens to every session and 1,795 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.
regression-test compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| regression-testSynthFlowAI/AnthropicPlugin | Skill | 0 | 5d ago | MIT | A | 117 | Claude Code |
| create-verification-skillYeachan-Heo/oh-my-claudecode | Skill | 41k | yesterday | MIT | A | 45 | Claude Code |
| verify-omnigentomnigent-ai/omnigent | Skill | 11k | today | Apache-2.0 | A | 100 | Claude Code, Codex |
| test-masterJeffallan/claude-skills | Skill | 12k | 3d ago | MIT | A | 104 | Claude Code |
| eval-dataset-designbojieli/ai-agent-book | Skill | 58k | 1mo ago | Apache-2.0 | A | 138 | Claude Code, Codex |
| dogfoodcallstack/agent-device | Skill | 5.4k | today | MIT | A | 55 | Claude Code |
| cua-driverdavidondrej/skills | Skill | 4.3k | yesterday | MIT | A | 68 | Claude Code, Codex |