Borrowing it
Nothing to install: this file belongs to AsiaOstrich/EngramGraph. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/AsiaOstrich/EngramGraph/main/.agents/skills/project-discovery/SKILL.mdgit clone --depth 1 https://github.com/AsiaOstrich/EngramGraphWrote 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/asiaostrich/engramgraph/project-discovery)<a href="https://agentmods.dev/skills/asiaostrich/engramgraph/project-discovery"><img src="https://agentmods.dev/badge/skills/asiaostrich/engramgraph/project-discovery/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.
<a href="https://agentmods.dev/skills/asiaostrich/engramgraph/project-discovery"><img src="https://agentmods.dev/badge/skills/asiaostrich/engramgraph/project-discovery.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00110 | $0.01902 |
| Opus 5.5 | $0.00044 | $0.00761 |
| Sonnet 5.5 | $0.00022 | $0.00380 |
| Haiku 4.5 | $0.00011 | $0.00190 |
Grade A, and why
discover 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 14d 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Discovery | 專案現況評估
Phase 0 assessment before adding features to existing codebases. Evaluate project health, architecture, and risks.
在既有程式碼庫新增功能前的 Phase 0 評估。評估專案健康度、架構與風險。
Assessment Dimensions | 評估維度
| Dimension | What to Check | 檢查項目 |
|---|---|---|
| Architecture | Module structure, dependency graph, entry points | 模組結構、相依圖、進入點 |
| Dependencies | Outdated packages, known vulnerabilities, license risks | 過時套件、已知漏洞、授權風險 |
| Test Coverage | Existing test suite, coverage gaps, test quality | 現有測試、覆蓋率缺口、測試品質 |
| Security | npm audit findings, hardcoded secrets, exposed endpoints |
安全稽核、硬編碼密鑰、暴露端點 |
| Technical Debt | TODOs, code duplication, complexity hotspots | TODO 標記、程式碼重複、複雜度熱點 |
Workflow | 工作流程
- Scan project - Read package.json, directory structure, config files
- Analyze architecture - Map modules, dependencies, and data flow
- Check dependencies - Run
npm outdated,npm auditfor health signals - Assess risks - Identify complexity hotspots, missing tests, security issues
- Generate report - Output health score with actionable recommendations
Output Format | 輸出格式
Project Health Report
=====================
Overall Score: 7.2 / 10
| Dimension | Score | Status | Key Finding |
|-----------------|-------|---------|------------------------|
| Architecture | 8/10 | Good | Clean module boundaries |
| Dependencies | 6/10 | Warning | 5 outdated, 1 critical |
| Test Coverage | 7/10 | Fair | 72% line coverage |
| Security | 8/10 | Good | No critical vulns |
| Technical Debt | 6/10 | Warning | 23 TODOs, 3 hotspots |
Recommendations:
1. [HIGH] Update lodash to fix CVE-2024-XXXX
2. [MED] Add tests for src/payments/ (0% coverage)
3. [LOW] Resolve TODO backlog in src/utils/
Risk Register | 風險登記簿
After assessment, identified risks are recorded in a structured Risk Register for ongoing tracking.
評估完成後，已識別的風險記錄在結構化的風險登記簿中進行持續追蹤。
What ships with it
2 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.
- 14d ago First seen · 159 lines · 110 tokens per session scan A 3199766b8d54
discover is a skill published in the GitHub repository AsiaOstrich/EngramGraph (3 stars, last pushed today), licensed MIT. It adds 110 tokens to every session and 1,902 once invoked, about $0.0004 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 2026-10-16.
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