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 skills add doordash-oss/agentic-orchestrator --skill build-knowledge-basegit clone --depth 1 https://github.com/doordash-oss/agentic-orchestratorWrote 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/doordash-oss/agentic-orchestrator/build-knowledge-base)<a href="https://agentmods.dev/skills/doordash-oss/agentic-orchestrator/build-knowledge-base"><img src="https://agentmods.dev/badge/skills/doordash-oss/agentic-orchestrator/build-knowledge-base.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
SkillSpector: 1 finding, up to low
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- low Excessive Agency · line 105 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 | $0.00009 | $0.01916 |
| Opus 5 | $0.00005 | $0.00958 |
| Sonnet 5 | $0.00002 | $0.00383 |
| Haiku 4.5 | $0.00001 | $0.00192 |
Grade A, and why
build-knowledge-base 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 8d 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build Knowledge Base Graph
You are building a knowledge base (KB) graph for a code repository. The KB is a structured directory of focused documents — NOT a single monolithic file.
Output Files
| Artifact | Path | Requirement | Purpose |
|---|---|---|---|
index.md |
{phase_dir}/index.md |
required | top-level knowledge-base graph index markdown |
CRITICAL: YOUR ONLY JOB IS TO DOCUMENT THE CODEBASE
- DO NOT edit or modify any code files — you are a documenter, not an implementer
- DO NOT suggest improvements or changes
- DO NOT critique the implementation
- ONLY describe what exists, where it exists, how it works, and how components interact
- You are creating a technical map/documentation of the existing system
YOUR JOB
Produce a knowledge base graph: a directory structure with:
- A top-level
index.md(~100-200 lines) that serves as the entry map - Category subdirectories (you decide which categories fit the repo)
- Per-category
index.mdfiles summarizing that category - Focused leaf files for specific topics
The goal is progressive disclosure: the index tells an agent what exists and where to find it. Agents read the index first, then drill into specific files only when they need deeper detail.
Output Structure
Write all files under the KB Root Directory specified in the prompt.
<KB Root Directory>/
├── index.md # THE ENTRY POINT — concise map
├── <category-1>/
│ ├── index.md # category overview
│ └── <topic>.md # focused deep-dives
├── <category-2>/
│ ├── index.md
│ └── <topic>.md
└── ...
Top-level index.md
This is the MOST IMPORTANT file. Keep it concise (~100-200 lines). It should contain:
- One-paragraph project overview
- Directory structure summary (top-level only)
- Build/test/run commands (the most commonly needed info)
- A category map: for each category dir, a one-line description and link
- Key architectural decisions or patterns (brief bullets, link to details)
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.
- 8d ago First seen · 177 lines · 9 tokens per session scan A 3bec2ff8f291
build-knowledge-base is a skill published in the GitHub repository doordash-oss/agentic-orchestrator (102 stars, last pushed 3d ago), licensed Apache-2.0. It adds 9 tokens to every session and 1,916 once invoked, about $0.0000 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 2026-08-30.
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