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/wefio/nodememorygraph/repo-developmentnpx skills add wefio/NodeMemoryGraph --skill repo-developmentgit clone --depth 1 https://github.com/wefio/NodeMemoryGraphWrote 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/wefio/nodememorygraph/repo-development)<a href="https://agentmods.dev/skills/wefio/nodememorygraph/repo-development"><img src="https://agentmods.dev/badge/skills/wefio/nodememorygraph/repo-development.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 5.1 | $0.00032 | $0.02177 |
| Opus 5 | $0.00016 | $0.01089 |
| Sonnet 5 | $0.00006 | $0.00435 |
| Haiku 4.5 | $0.00003 | $0.00218 |
Grade A, and why
repo-development 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 2d 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository development
Keep the workflow small, evidence-based, and friendly to concurrent Agents.
Repository governance
- Treat the repository as the Agent's working environment. When a recurring task is hard to route or verify, improve its existing owner, route, or Skill instead of adding a private workaround or another source of truth.
- Treat an Agent completion claim as a proposal. Targeted tests, independent verification, clean CI, and—when the change crosses an external boundary—a real integration run determine whether the change holds. Each proof is scoped to what it actually measured.
- Move work, PRs, decisions, guardrails, and releases only through their explicit lifecycle operations. Do not infer a state transition from phrases such as "done" or "ship it" and do not bypass its prerequisites.
- Detect entropy aggressively: stale temporary work, expired guardrails, duplicate tests, unused compatibility layers, and superseded abstractions. Automatically remove only generated, cached, or explicitly expiring material; propose reviewable candidates before deleting source, history, public interfaces, issues, or pull requests.
- Keep one authoritative writer for each fact. Observe or reference GitHub, Contracts, repository state, verification receipts, and NMG memory through their owning interfaces rather than mirroring them into a competing store.
Before editing
- Run
npm run agent:context -- <target-path>. Positional paths route the explicit scope without consulting Git. Use--changedonly when dirty Git paths should be added automatically; that mode requires working Git inspection. Treatunknownreconciliation as missing applicable evidence, anddriftedas a request to inspect the reported declaration, snapshot, or verification mismatch. Neither status is an architectural verdict. - Inspect
git status --short; preserve unrelated changes and commit only your files. - Read the returned owning design and the exact code you will modify. Experiments are evidence, not normative design.
- State a testable outcome. For defects and lifecycle work, write the failing behavior test first.
- Immediately before the first substantive file write, register one open in-flight
goal on the
repo-developmentTask Board channel. Its content contains onlygoal,approach, andscope; use one entry for the coherent task, not one per file or step. Follow the daemon ownership rules innmg-memory, and retain the returned entry ID:
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.
- 2d ago Changed · +67 lines 7a7a881b1a71
- 5d ago First seen · 95 lines · 32 tokens per session scan A 177265cd44d9
repo-development is a skill published in the GitHub repository wefio/NodeMemoryGraph (0 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 2,177 once invoked, about $0.0002 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
skills-constitution
当 Agent 接到专业任务(编码/爬虫/文件操作/API调用/数据分析/文档/部署/推送等)时,强制先查记忆层和技能索引,有匹配必用、无匹配必搜、答复时自动推荐(排除已装)。用于防止 Agent 跳过技能直接硬扛通用能力。跨平台通用(WorkBuddy/Claude/ChatGPT/Cursor/Gemini 等 20+ 框架)。完整版本史见 CHANGELOG.md。.
commit
Atomic git commit with conventional message. Use when the user says "commit", "save my changes", "commit this", or wants to create a git commit. Stages specific files, writes a conventional commit message with body explaining non-obvious decisions. Never uses git add -A.
python-run
Run and debug Python scripts in the project. Use when the user says "run python", "execute this script", "debug this py file", or wants to run/modify a .py file. Handles dependency checks, linting, execution, and error analysis.
skill-authoring
Author SKILL.md: frontmatter, structure, writing principles.
systematic-debugging
4-phase root cause debugging: understand bugs before fixing.
github-code-review
Review PRs: diffs, inline comments via gh or REST.