Silicon-Pantheon: Skill for Claude Code

.claude/skills/review-system-test/SKILL.md

review-system-test is a skill for Claude Code from haoyifan/Silicon-Pantheon. It costs 0 tokens per session (1,746 once invoked), scanned A, original, Apache-2.0.

Compétence d'analyse de tests système qui examine un dossier contenant les journaux, relectures et résultats d'une exécution.

In plain words
What is it for?
Passer en revue un bundle de tests, classer chaque problème par gravité et vérifier les logs du serveur, des agents et de l'orchestrateur.
Why use it?
Elle aide à repérer les erreurs, régressions et avertissements qui peuvent rendre une exécution de test peu fiable.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is haoyifan/Silicon-Pantheon's own configuration. It tells Claude Code how to work on Silicon-Pantheon itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Silicon-Pantheon configures →

Reuse

Borrowing it

Nothing to install: this file belongs to haoyifan/Silicon-Pantheon. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/haoyifan/Silicon-Pantheon/master/.claude/skills/review-system-test/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/haoyifan/Silicon-Pantheon

Made for: Claude Code.

Wrote 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.

agentmods badge for review-system-test

README.md
[![agentmods](https://agentmods.dev/badge/skills/haoyifan/silicon-pantheon/review-system-test/github.svg)](https://agentmods.dev/skills/haoyifan/silicon-pantheon/review-system-test)
Your own site
<a href="https://agentmods.dev/skills/haoyifan/silicon-pantheon/review-system-test"><img src="https://agentmods.dev/badge/skills/haoyifan/silicon-pantheon/review-system-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.

agentmods 80×15 button for review-system-test

Your own site · 80×15
<a href="https://agentmods.dev/skills/haoyifan/silicon-pantheon/review-system-test"><img src="https://agentmods.dev/badge/skills/haoyifan/silicon-pantheon/review-system-test.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,746 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.01746
Opus 5.5 $0.00000 $0.00698
Sonnet 5.5 $0.00000 $0.00349
Haiku 4.5 $0.00000 $0.00175

Measured 2mo ago against content hash ca8baef97cfb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-system-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 2mo 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.

.claude/skills/review-system-test/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

System-Test Bundle Review Skill

You are an experienced SRE + backend engineer reviewing a system-test bundle produced by silicon-system-test. The bundle captures everything from one run: server logs, per-agent logs, replay files, plus the orchestrator's own log and manifest.

Input

`` is the path to a bundle directory. If empty, look under ~/silicon-system-test-results/ for the most recent one:

ls -t ~/silicon-system-test-results/ | head -1

Layout you should expect:

/
  run-manifest.json       # machine-readable: agents, config, outcomes
  INCIDENTS.md            # orchestrator-detected problems (pre-written)
  orchestrator.log        # what the orchestrator did, when
  server/
    silicon-serve.stdout.log
    *.log                 # silicon-serve's log file (pid-and-ts named)
    replays/*.jsonl       # one replay per completed match
    leaderboard.db        # sqlite, if any matches counted
  clients/
    -host.toml
    -host.log
    -host.stdout.log
    -joiner.toml
    ...

What to check

Walk through the list, report every issue with severity: CRITICAL (run can't be trusted), HIGH (likely regression), MEDIUM (flaky / warning), LOW (noise), INFO.

1. Manifest summary (CRITICAL if missing)

Read run-manifest.json:

  • summary.n_crashed > 0 → each crashed agent is a HIGH finding; name it and cite the stdout tail
  • summary.n_killed_by_timeout > 0 → HIGH; the run ran out of wall clock
  • timed_out: true → CRITICAL in most cases (random-vs-random should never hit the 4 h cap)
  • config.run.num_matches vs summary.n_clean_exit — matches that didn't reach game_over are worth flagging

2. Orchestrator-detected incidents (CRITICAL-for-each)

Read INCIDENTS.md. The orchestrator has already pre-classified obvious failures. Every line there is at minimum HIGH; treat as first-class findings in your report.

3. Server log — crashes + invariants (CRITICAL)

server/*.log (not the stdout one — the silicon-*.log file):

Read the full file on GitHub · 191 lines

Changes

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.

  1. 2mo ago First seen · 191 lines · 0 tokens per session scan A ca8baef97cfb

Subscribe to this mod's changes

review-system-test is a skill published in the GitHub repository haoyifan/Silicon-Pantheon (7 stars, last pushed 5mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,746 tokens. 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.

Related

Other skills, from other repositories

systematic-debugging

4-phase root cause debugging: understand bugs before fixing.

NousResearch/hermes-agent · 16 tokens

module-regression

Govern cross-module regression in large repositories with a REGRESSION.md ledger that records each module's downstream consumers and executable acceptance command. After a change, run the changed module and every affected downstream command, and use observed exit codes as regression evidence under the project's…

affaan-m/ECC · 82 tokens

fix-failing-tests

Diagnose a failing test in the googleapis/mcp-toolbox repo and land a fix by reasoning from the actual error: read the failure, reproduce it, shrink it until the cause is forced into the open, then fix the cause. Use this whenever a test or CI job is red, a build breaks after a change, many packages fail at once, or a…

googleapis/mcp-toolbox · 87 tokens

reproduce-bug

Reproduce a reported bug in googleapis/mcp-toolbox and decide whether it is real, delivering an evidence-backed verdict: confirmed, already fixed, misconfiguration, client-side, works as intended, not reproducible, or blocked. Use whenever a maintainer asks you to reproduce, verify, confirm, or investigate a bug…

googleapis/mcp-toolbox · 130 tokens

credit-note-fixer

Fix the tiny credit-note formatting bug and rerun the exact targeted test command.

openai/openai-agents-python · 21 tokens

verify-omnigent

Drive Omnigent the way a user does and prove a behavior with recorded evidence, using an isolated server, runner, and mock model plus a feature map of every user entry point. Load before reproducing a user-facing bug, before claiming a fix works, or when reviewing whether a change covered every surface (session vs.…

omnigent-ai/omnigent · 100 tokens