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 alivirgo/Major-AI-Skills --skill agent-tool-replay-testgit clone --depth 1 https://github.com/alivirgo/Major-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/alivirgo/major-ai-skills/agent-tool-replay-test)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/agent-tool-replay-test"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/agent-tool-replay-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/alivirgo/major-ai-skills/agent-tool-replay-test"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/agent-tool-replay-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 | $0.00027 | $0.00295 |
| Opus 5 | $0.00014 | $0.00148 |
| Sonnet 5 | $0.00005 | $0.00059 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
agent-tool-replay-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 today.
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
Tool Replay Test
Scope
Read the tool contracts and identify read-only versus mutating operations. Use the existing test runner and mock interfaces. Record sanitized inputs, expected results, and correlation IDs without credentials.
Procedure
Build deterministic fixtures for success, timeout, permission denial, malformed output, and partial failure. Replace clocks and random IDs where needed. Prevent fixtures from reaching real networks or production resources.
Checks
Replay exact arguments through the validation and dispatch layers. Test that unknown fields and invalid identifiers are rejected. For mutating calls, verify authorization checks and idempotency behavior before any side effect.
Failure Handling
Check bounded retries and distinguish a known failure from an unknown outcome after a timeout. An unknown outcome requires reconciliation; blindly replaying a payment or message send can duplicate it.
Deliverable
Deliver fixtures, invocation traces, and assertions about calls that must not occur. Label replay coverage separately from end-to-end model behavior because a replay does not test tool selection.
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.
- today First seen · 35 lines · 27 tokens per session scan A 475c1afbe00f
agent-tool-replay-test is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 295 once invoked, about $0.0001 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 2026-09-12.
Other skills, from other repositories
agent-harness-fault-injection
Use when an agent workflow needs deterministic recovery evidence for sandbox, MCP/tool, worker, checkpoint, memory, or orchestration failures.
ax-extract-workflow
Reconstruct workflow behind a past coding-agent artifact using local ax sessions/commits/skills/tool traces. Use when asked how X was built.
agenttrace-session-audit
Audit local AI coding-agent sessions with agenttrace for cost, tool failures, latency, anomalies, health, diffs, and CI gates.
laravel-api
Build production-ready RESTful APIs with Laravel. Covers authentication (Sanctum/Passport), versioning, resources, rate limiting, and API testing.
e2e-automator
Build robust end-to-end test suites with Playwright or Cypress. Covers page objects, fixtures, visual testing, and CI integration.
unit-test-writer
Write comprehensive unit tests that verify behavior, catch regressions, and document intent. Covers test organization, assertions, mocking, and coverage.