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/takaoumehara/superforge-skill/superforge-debugnpx skills add takaoumehara/superforge-skill --skill superforge-debuggit clone --depth 1 https://github.com/takaoumehara/superforge-skillWrote 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/takaoumehara/superforge-skill/superforge-debug)<a href="https://agentmods.dev/skills/takaoumehara/superforge-skill/superforge-debug"><img src="https://agentmods.dev/badge/skills/takaoumehara/superforge-skill/superforge-debug.svg" alt="Measured on agentmods" 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 | $0.00200 | $0.01315 |
| Opus 5 | $0.00100 | $0.00658 |
| Sonnet 5 | $0.00040 | $0.00263 |
| Haiku 4.5 | $0.00020 | $0.00131 |
Grade A, and why
superforge-debug 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Superforge Debug — Systematic Debugging & FailForward Memory Engine
Use this skill whenever an error, bug, test failure, or unexpected behavior occurs. NEVER apply trial-and-error edits or mask symptoms with dummy fallbacks.
1. FailForward Memory Pre-Flight (Mandatory)
Before forming diagnostic hypotheses, read the project's failure log:
docs/failforward.md — committed, in the repository. This is the memory,
and it works whether or not any CLI is installed. Thirty seconds of reading it
before hypothesising is the entire reason it exists, because the thing it
records is not the list of past fixes but the list of past wrong first
guesses, and those repeat.
If the local FailForward CLI is available, query it as well:
failforward recall "<error keyword or component name>"
If a relevant past failure is recalled:
- Apply the verified lesson immediately.
- Mark as useful via
failforward useful <id>.
The file's entry format, and why the Looked like line is the one that pays →
references/failforward.md.
2. 4-Phase Empirical Debugging Protocol
Phase 1 — Log Extraction & Inspection
- Read the FULL, un-truncated log or stack trace.
- Extract exact error symbols, line numbers, and file locations.
Phase 2 — Reproduce & Isolate
- Isolate the minimal reproduction case.
- Trace upstream data flow to pinpoint where the contract was broken.
- If it will not reproduce, do not proceed to Phase 3 — a fix formulated
without a reproduction cannot be verified. Narrow what "sometimes" means,
match the environment one variable at a time, or instrument and wait
(
references/failforward.md§2). For "it used to work", stop reasoning about the code and bisect (§3 there).
Phase 3 — Root-Cause Fix Formulation
- Diagnose based strictly on empirical log evidence.
- Fix the underlying contract failure. Never swallow exceptions or bypass assertions.
Phase 4 — Verification & FailForward Recording
- Run tests to confirm clean success — and re-run the original reproduction, not only the new test.
- Append the entry to
docs/failforward.md, includingLooked likeandLocked by(write 無し deliberately if no test locks it). - If the CLI is present, record it there too:
failforward record \ --category <build|type|test|lint|logic|debug|other> \ --severity <p0|p1|p2|p3> \ --symptom "<What happened>" \ --cause "<Why it happened>" \ --fix "<How it was fixed>" \ --context "<File/function>" \ --scope project
What ships with it
9 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.
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.
- 4d ago First seen · 137 lines · 200 tokens per session scan A 5247502e6bc3
superforge-debug is a skill published in the GitHub repository takaoumehara/superforge-skill (1 stars, last pushed 19d ago), licensed MIT. It adds 200 tokens to every session and 1,315 once invoked, about $0.0010 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
spec-kitty-charter-doctrine
Run charter interview, generation, context, and sync workflows for project governance in Spec Kitty 3.x. Access doctrine artifacts programmatically via DoctrineService. Resolve agent profiles. Load action-scoped governance context iteratively, not all at once. Triggers: "interview for charter", "generate charter"…
neo4j-modeling-skill
Design, review, and refactor Neo4j graph data models. Use when choosing node labels vs relationship types vs properties, migrating relational/document schemas to graph, detecting anti-patterns (generic labels, supernodes, missing constraints), designing intermediate nodes for n-ary relationships, enforcing schema with…
lov-article-creator
统一创建、改写、品牌化或忠实转载微信公众号文章包:正文写作调用唯一文风与作者性能力,离线完成结构、品牌、封面、4:3 首图、来源与质量验收。Use when asked to write, brand, audit, or faithfully repost a WeChat article package.
lov-env-management
统一管理平台、账号与多组 API Key,维护有效期和启用状态,安全同步到 zsh 或用户会话环境,并提供脱敏 Dashboard;用户说“管理环境变量”“rotate API keys”时使用。.
lov-repo2docs
Turn any folder of source material — a code repository, a pile of articles, a mixed knowledge dump with images — into a professional, polished Fumadocs (Next.js) documentation website, then deploy it to https://{product-id}.example.com/docs. Works by reading the folder one unit at a time and incrementally growing and…
lov-deploy-to-vercel
Deploy frontend projects to Vercel with automatic custom domain setup. Handles Vite, Next.js, CRA, and static sites. Auto-configures Cloudflare DNS CNAME records and Vercel domain aliases. Supports SPA routing via vercel.json. Trigger when user says "deploy to vercel", "部署到 vercel", "vercel deploy", or mentions a…