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 agentmods add skills/shihuiwen-creat/agentablate/skillnpx skills add ShiHuiwen-creat/AgentAblate --skill skillgit clone --depth 1 https://github.com/ShiHuiwen-creat/AgentAblateWhat 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 | $0.00020 | $0.00064 |
| Opus 5 | $0.00010 | $0.00032 |
| Sonnet 5 | $0.00004 | $0.00013 |
| Haiku 4.5 | $0.00002 | $0.00006 |
Grade A, and why
codex-skill-output 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 yesterday.
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
Codex skill output
For this fixture, make the requested codex-skill-output.txt change and avoid
touching unrelated files. The evaluator checks only that requested file.
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.
- yesterday First seen · 10 lines · 20 tokens per session scan A 3134a852cc30
codex-skill-output is a skill published in the GitHub repository ShiHuiwen-creat/AgentAblate (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 20 tokens to every session and 64 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 2026-08-31.
Other skills, from other repositories
analyze
Analyze a finished coder-eval run and write analysis.md — cluster failures into systemic patterns and recommend fixes. Use when the user wants to know why a run failed, what regressed or got worse since a previous run, what to fix, or what a run says about their tasks.
check-skill
Generate and run a coder-eval activation suite for a Claude Code skill. Use when the user asks whether a skill triggers, wants to test skill activation, or worries a skill has silently stopped firing.
ci
Generate a GitHub Actions workflow that runs a coder-eval suite as a CI gate or on a schedule, using the published composite action — with the agent runtime, credentials, JUnit output and a score floor wired correctly.
task
Turn a natural-language description into coder-eval task YAML — minimal prompts, weighted criteria that check output content, validated with coder-eval plan. Use when the user wants to write, add, or generate an evaluation task.
execution
M-1.4 execution skill — 跑 single task 产 patch + 提交 envelope。.
fix-self-check
M-1.6 envelope self-check——独立性保证不自欺欺人 (5 blockingcheck)。由 CLI ./tw fix complete --self-check-mode fork(默认即 fork)自动派起,不经 Skill 工具调用;fix 主会话产 FixCompleted 前直读本文,是为理解双层验证关系。.