loom-converge

loom-converge is a skill for Claude Code from xiqin/loom. It costs 94 tokens per session (1,432 once invoked), scanned A, original, MIT.

A convergence check that compares implemented code and tests with the original requirements and their traceability records. It classifies each behavior as covered, missing, partly covered, contradictory, or unrequested.

In plain words
What is it for?
Use it after tests pass to review every requirement, create findings for problems, and send unresolved work back to implementation.
Why use it?
It catches requirements that were missed, only partly implemented, contradicted by the code, or added without being requested before final verification.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the loom-engineering plugin — 22 skills shipped together

Good fit Use it after tests pass to review every requirement, create findings for problems, and send unresolved work back to implementation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xiqin/loom/loom-converge
View source ↗ xiqin/loom
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 xiqin/loom --skill loom-converge
Clone the repo
git clone --depth 1 https://github.com/xiqin/loom

Made for: Claude Code.

Or install loom-engineering, the plugin that ships this one along with the rest of its 22 skills.

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 loom-converge

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/xiqin/loom/loom-converge"><img src="https://agentmods.dev/badge/skills/xiqin/loom/loom-converge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,432 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 $0.00094 $0.01432
Opus 5 $0.00047 $0.00716
Sonnet 5 $0.00019 $0.00286
Haiku 4.5 $0.00009 $0.00143

Measured 10d ago against content hash 171fd1f39e06, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

loom-converge 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 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/converge.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/loom-converge/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

收敛(converge)

触发条件

  • executing 阶段已产出 test-report.md 且 verdict 为 PASS。
  • 即将进入 verification,但尚未把代码事实对照意图清单做收敛。
  • requirements.jsontraceability.json 存在。

非触发条件

  • test-report.md 仍为 FAIL 或未产出。
  • quickfix / chore 等无 spec 的流程。

执行流程

Step 1:运行收敛

调用 loom MCP 工具 loom_converge(参数 spec_dirround)。

工具读取 requirements.jsontraceability.json,对每个 behavior 分类为 covered/missing/partial/contradicts/unrequested,输出 convergence-report.json。返回 ok:false 表示有 blocker(missing/contradicts),需要回流 executing。

说明:scripts/converge.mjs 是该工具的实现,运行在 loom MCP 服务器进程内。不要在用户项目里用 node skills/... 调用(部署后路径会断裂)。

Step 2:逐 behavior 分类

对每个 REQ-xxx-Bnn behavior,依据 traceability.jsontests/evidence 与实际代码/测试文件,分类为:

  • covered:tests 引用真实存在的测试文件,且 evidence 引用真实日志,且 behavior 的 acceptance 被测试覆盖。
  • missing:traceability 中无 tests 或 evidence,或引用文件不存在。
  • partial:有 tests 但未覆盖 acceptance 全部分支(例如只测 happy-path,未测 invalid-input)。
  • contradicts:实现与 spec/requirements 描述冲突,或测试断言与 acceptance 相反。
  • unrequested:代码中实现了 requirements.json 没有声明的行为或公开 API 变更。

Step 3:生成 findings

每个 missing / partial / contradicts / unrequested 生成一条 finding:

{
  "id": "F-conv-001",
  "kind": "missing",
  "severity": "blocker",
  "message": "REQ-001-B03 (authorization) has no test reference in traceability.json",
  "requirement_id": "REQ-001",
  "behavior_id": "REQ-001-B03",
  "artifact": "traceability.json",
  "suggested_fix": { "action": "create_task", "details": "add task T2 to implement authorization test for REQ-001-B03" }
}

Step 4:追加新 task 回流

对所有 missing / partial / contradicts,生成新 task 文件 tasks/T*.md,frontmatter 包含:

  • requirements: 对应 REQ-xxx
  • behavior_ids: 对应 REQ-xxx-Bnn
  • owns: 建议修改的文件(从 finding 的 location 或现有代码推断)
  • depends_on: 依赖的原 task

把新 task 追加到 plan.md 的 task 表。更新 traceability.json 把新 task 加入对应 behavior 的 tasks

Step 5:更新 convergence-report.json

{
  "stage": "converge",
  "round": 1,
  "status": "converged|needs_another_round",
  "classification": {
    "REQ-001-B01": "covered",
    "REQ-001-B02": "covered",
    "REQ-001-B03": "missing"
  },
  "findings": ["..."],
  "new_tasks": ["T2", "T3"],
  "coverage": {
    "behavior_coverage": "67%",
    "acceptance_coverage": "55%"
  },
  "created_at": "2026-07-20T18:30:00Z"
}

Read the full file on GitHub · 125 lines

Files

What ships with it

1 file 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. 10d ago First seen · 125 lines · 94 tokens per session scan A 171fd1f39e06

Subscribe to this mod's changes

loom-converge is a skill published in the GitHub repository xiqin/loom (5 stars, last pushed 1mo ago), licensed MIT. It adds 94 tokens to every session and 1,432 once invoked, about $0.0005 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.

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