clawevolve-review

clawevolve-review is a skill for Claude Code, Codex from inclusionAI/Avernet. It costs 68 tokens per session (1,249 once invoked), scanned A, original, Apache-2.0.

A structured review step for a bot self-improvement process. It compares optimization and validation evidence to identify competing explanations for failures, signals that could distinguish them, and behavior that must be preserved.

In plain words
What is it for?
Use it after tuning and validation to review failure mechanisms, alternative causes, protected behaviors, and whether a current hypothesis is supported, still being tested, or disproved.
Why use it?
It separates observed evidence from guesses about the cause, reducing the risk of changing the bot for the wrong reason. It does not propose exact code or text changes.

Skill for Claude CodeCodex

Written for Claude Code and Codex: allowed-tools in frontmatter, but also agents/openai.yaml present.

Good fit Use it after tuning and validation to review failure mechanisms, alternative causes, protected behaviors, and whether a current hypothesis is supported, still being tested, or disproved.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/inclusionai/avernet/clawevolve-review
Install

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.

Any agent
npx skills add inclusionAI/Avernet --skill clawevolve-review
Clone the repo
git clone --depth 1 https://github.com/inclusionAI/Avernet

Made for: Claude Code, Codex.

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 clawevolve-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/inclusionai/avernet/clawevolve-review/github.svg)](https://agentmods.dev/skills/inclusionai/avernet/clawevolve-review)
Your own site
<a href="https://agentmods.dev/skills/inclusionai/avernet/clawevolve-review"><img src="https://agentmods.dev/badge/skills/inclusionai/avernet/clawevolve-review/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 clawevolve-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/inclusionai/avernet/clawevolve-review"><img src="https://agentmods.dev/badge/skills/inclusionai/avernet/clawevolve-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,249 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 $0.00068 $0.01249
Opus 5.5 $0.00027 $0.00500
Sonnet 5.5 $0.00014 $0.00250
Haiku 4.5 $0.00007 $0.00125

Measured 1mo ago against content hash 3abd39520a6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

clawevolve-review 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 1mo 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.

apps/evolverun/clawweb-skills/clawevolve-skills/clawevolve-review/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ClawEvolve Structured Review v2

职责边界

Review 只回答:

  1. 需要区分什么 failure mechanism?
  2. 有哪些仍然 plausible 的替代原因?
  3. 什么 capability-level 行为信号能区分这些解释?
  4. 哪些 accepted baseline 行为必须保护?
  5. 当前 hypothesis 是 suspected、testing、supported 还是 falsified?
  6. 什么新证据出现后应重新考虑?

Review 不回答:

  • 具体怎么改;
  • 使用哪个 mutation operator;
  • 修改哪个文件;
  • exact patch / proposed change;
  • 增加、删除或重排什么 Block/anchor/步骤文案。

具体实现决策属于 Tune。

可读取输入

  • objective.md;
  • 输入 evolution.spec.v1 的 experiment questions、protected behaviors 和 contracts;
  • post-Tune full candidate optimization report;
  • candidate effect/protected/full-opt gate;
  • Tune report、change manifest 与 diff;
  • aggregate validation summary;
  • acceptance / replication decision;
  • runtime experiment ledger 和 failure registry 中的机制级信息。

Validation 防火墙

  • validation 只用于 promotion/generalization 门禁,不是下一轮训练数据。
  • 禁止读取 validation resultPath、逐 task report、transcript、case/template、rubric breakdown。
  • 禁止输出 validation task id、单 case 分数、expert/rubric 字段、答案、原文或 case-specific workaround。
  • 只能使用 runner 注入的 aggregate validation 与抽象 acceptance decision。

效果解释原则

  • accepted/rejected 描述的是 promotion 结果,不等同于 effective/ineffective。即使未晋升,也要分别记录已经观察到的正向行为、回归行为和证据等级。
  • 不得只根据 aggregate score 判断机制。分别审视:
    • reasoning_quality:识别、准确度、证据和建议;
    • delivery_reliability:最终输出完整性、确认、stage completion、非重复和一次性交付。
  • 中段推理提升但尾段交付消失,应描述为 reasoning-only improvement with delivery regression,不能写成整体成功。
  • 高分但存在重复区块、尾段未完成或 judge/breakdown 缺失时,必须保留 scorer blind spot / observability alternative cause。
  • 单次 targeted observation 默认只记为 observed_once;只有重复、跨任务或 held-out aggregate 证据才逐步升级为 replicated、cross_task_positive、heldout_positive。
  • Review 应把已观察到的成功机制转成 capability-level protected behavior,避免后续 Tune 在解决新问题时无意撤销;但不得把候选的具体 patch 文案写入 spec。

唯一输出

只写:

{round_dir}/spec/review_decision.json

不得直接写 spec-vN.md、spec-vN.json 或 spec_update_report.md;这些由 runner 确定性生成。

Schema:

{
  "schema_version": "evolution.review_decision.v2",
  "round_id": 1,
  "acceptance_decision": "needs_replication",
  "summary": "机制级短总结",
  "confidence": "low",
  "hypotheses": [
    {
      "hypothesis_id": "HYP-001",
      "failure_signature": "complex_case_stage_abandonment",
      "status": "suspected",
      "claim": "复杂任务中关键路径过长可能导致后续阶段放弃",
      "alternative_causes": ["instruction_density", "output_budget", "tool_latency"],
      "disambiguation_signal": "保持业务目标不变时,stage_completion 是否稳定恢复",
      "protected_behaviors": [{"behavior_id": "complete_output_contract", "description": "保持完整输出契约", "metric": "output_contract_complete", "direction": "maintain", "min_value": 1, "max_drop": 0}],
      "confidence": "low",
      "revisit_condition": "独立重复实验产生一致证据"
    }
  ],
  "direction_decisions": [
    {
      "direction_id": "DIR-001",
      "decision": "keep|strengthen|split|freeze|reject|defer",
      "confidence": "low",
      "rationale": "机制级理由",
      "revisit_condition": "重新考虑条件"
    }
  ]
}

Read the full file on GitHub · 128 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 128 lines · 68 tokens per session scan A 3abd39520a6b

Subscribe to this mod's changes

clawevolve-review is a skill published in the GitHub repository inclusionAI/Avernet (641 stars, last pushed today), licensed Apache-2.0. It adds 68 tokens to every session and 1,249 once invoked, about $0.0003 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 2026-09-15.

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