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 dimosgit/grounded-knowledge-engine --skill grounded-knowledge-workflowgit clone --depth 1 https://github.com/dimosgit/grounded-knowledge-engineWrote 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/dimosgit/grounded-knowledge-engine/grounded-knowledge-workflow)<a href="https://agentmods.dev/skills/dimosgit/grounded-knowledge-engine/grounded-knowledge-workflow"><img src="https://agentmods.dev/badge/skills/dimosgit/grounded-knowledge-engine/grounded-knowledge-workflow/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/dimosgit/grounded-knowledge-engine/grounded-knowledge-workflow"><img src="https://agentmods.dev/badge/skills/dimosgit/grounded-knowledge-engine/grounded-knowledge-workflow.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 | $0.00091 | $0.02227 |
| Opus 5.5 | $0.00036 | $0.00891 |
| Sonnet 5.5 | $0.00018 | $0.00445 |
| Haiku 4.5 | $0.00009 | $0.00223 |
Grade A, and why
grounded-knowledge-workflow 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 9d 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 — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Grounded Knowledge Workflow
Use the engine as shared memory, not as a replacement for judgment. Keep this skill thin: select the semantic operation and let the MCP server and CLI enforce retrieval, project scope, citations, and writes.
Use the one-call Q&A fast path
- For an ordinary definition, recall, explanation, or comparison, call
kb.answer_and_captureexactly once withresponseMode: autoandresponseFormat: compact, andcaptureStrategy: auto. - Do not call
kb.searchorkb.get_recordbefore it. The answer tool performs its own retrieval and grounding. Without anoteBodyfinding it never writes. - Return the answer, citations, capture status,
tokenUsage, andtimings. When the KB lacked the answer and the result is durable, first apply "Retain automatically, update first" below. Do no other maintenance unless asked.
Coordinate complex implementation separately
In a source checkout, only substantial implementation work with independent
workstreams or a named high-risk decision can use the optional
skills/complex-task-workflow/SKILL.md for token-first routing and bounded native
workers. Do not load it for routine or sequential work. Check that the file exists:
the published package does not include this optional skill. If it is absent,
continue using the active client's normal implementation workflow without
installing anything or treating the missing skill as a blocker.
This skill continues to own local grounding, explicit project resume, and authorized durable capture.
Choose the operation
- For a named project or “continue where I stopped,” call
kb.resume_projectwith the explicitprojectId. - For an evidence-only search request, call
kb.search. - For one known record, call
kb.get_recordby path, title, slug, or filename. - For a grounded answer that may retain useful context, call
kb.answer_and_capture. - For project creation and administration, use the deterministic
gkeproject CLI rather than inventing an MCP file-management workflow. - When the user explicitly asks to preserve a project handoff or progress
boundary, use
gke checkpoint; never create one merely because a project was viewed or resumed. - When the user explicitly asks to preserve or inspect a durable decision, use
the full-profile decision MCP tools when available. Use the local
gke decisionsCLI for administration or when the MCP server is running the core profile. Local Cockpit preview/apply may append a reviewed change; the public Cockpit remains read-only.
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.
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.
- 9d ago Changed · +13 lines fe71c552e445
- 24d ago Changed · +16 lines 04dc7759cb84
- 1mo ago First seen · 176 lines · 91 tokens per session scan A 386f3e72424d
grounded-knowledge-workflow is a skill published in the GitHub repository dimosgit/grounded-knowledge-engine (5 stars, last pushed 10d ago), licensed MIT. It adds 91 tokens to every session and 2,227 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 2026-08-31.
Other skills, from other repositories
my-wiki
A skill for managing a local Markdown knowledge vault that stores captured webpages, PDFs, Office files, notes, images, folders, and ZIP files. It links preserved source material, called References, to durable topic pages, called Concepts.
obsidian-vault-workflow
Use this skill when a user asks an agent to inspect, organize, summarize, or update an Obsidian vault through this MCP server.
vault-for-llm
Connect OpenClaw to Vault Agent Memory as a local-first governed project memory layer. Search first, then bounded-read cited source ranges; propose new memories as candidates instead of writing directly into active memory.
context
Use whenever the user asks about their own work, projects, decisions, people, preferences or past sessions, and before ending any session that produced something worth keeping. The user's Context is their own notes, reached through the context MCP server; this skill says when to read it and how to write back.
how-we-define-chaos
How Context scores a workspace's chaos, and how to organize notes so it goes down. Use when the user asks you to tidy, organize, clean up or restructure their notes or folders, asks about their chaos score, or when a write or move answer reports the score got messier.
any-mcp
Use when an agent needs to read, search, create, edit, organize, upload, or chat with Anytype through the bounded any-mcp server. Covers safe tool selection, exact identifier chaining, optional toolsets, common PKM workflows, and the narrow anyr fallbacks for chat subscriptions and rich chat blocks.