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 wlfghdr/agentic-kb --skill kb-journeysgit clone --depth 1 https://github.com/wlfghdr/agentic-kbWrote 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/wlfghdr/agentic-kb/kb-journeys)<a href="https://agentmods.dev/skills/wlfghdr/agentic-kb/kb-journeys"><img src="https://agentmods.dev/badge/skills/wlfghdr/agentic-kb/kb-journeys/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/wlfghdr/agentic-kb/kb-journeys"><img src="https://agentmods.dev/badge/skills/wlfghdr/agentic-kb/kb-journeys.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 | $0.00128 | $0.03249 |
| Opus 5 | $0.00064 | $0.01625 |
| Sonnet 5 | $0.00026 | $0.00650 |
| Haiku 4.5 | $0.00013 | $0.00325 |
Grade A, and why
kb-journeys 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 — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: KB Journeys
Journeys describe how a persona moves through a product, service, or process — as a hierarchy (journey → phase → sub-journey → step) with explicit entry conditions, exit conditions, cross-journey interfaces, and readiness assessments per visible step. They are a first-class product-management KB artifact, separate from roadmaps (plan↔delivery) and topics (positions), but tightly coupled to both as the product-behavior reference layer.
This skill turns markdown journey specs into:
- A browsable HTML set (one HTML per journey + an index) that respects the adopter's brand tokens.
- An automatic standalone-mock index — every embedded UI or terminal mock is also rendered as its own page and back-linked.
- A four-command authoring arc shared with
kb-roadmap:ideate,discuss,review,refine.
When to invoke
Invoke whenever the user:
- Types
/kb journeys(optionally followed bynew,render,extract-mocks,audit,ideate,discuss,review,refine). - Describes a user flow, a phase map, an onboarding path, an incident response path, or any multi-step persona-centric narrative.
- Asks "how does a user / customer / operator move through X?".
Why journeys matter in the operating model
Journeys are the cleanest shared answer to: what is the thing supposed to do for whom, through which path, at what level of readiness?
That makes them the bridge between:
- joint roadmap intent — what leadership/product says should move
- workstream detail reality — what engineering is actually building, learning, changing, and proving
Roadmap items should move journey readiness. Delivery updates should be explainable in journey terms. Scope changes should be visible as changes in journey shape, step priority, or readiness movement, not only as ticket churn.
Core rules (always apply)
- Markdown is the source of truth. HTML is generated; never hand-edit the HTML.
- Every journey is self-contained. Readable without loading any other journey, but with explicit
## Interfacesto adjacent journeys. - Every visible step has a stable id (
J<journey>.<phase>-S<step>, e.g.J1.1-S3). Ids do not change once assigned — they are link targets across the KB. - Every visible step carries a readiness chip — green / amber / red, with a one-line rationale. Journeys without readiness are draft only.
- Every embedded mock is extractable — wrap in the mock envelope so the extractor can lift it out into a standalone page.
- Zero vendor strings. Brand colors, fonts, logos come from the adopter's
.kb-config/artifacts.yaml. The skill's template ships with neutral tokens. - Dual output always. Every
renderrun emits the per-journey HTMLs + the mocks index in the same pass. They never drift. - Journeys are ground truth for the roadmap. When a scope in
kb-roadmapdeclaresjourney-refspointing here, every roadmap item is cross-checked against its cited step(s). Journey steps are the definition of what the product must do; roadmap items exist to move step readiness forward. A journey is never silently updated from roadmap findings — drift findings trigger/kb journeys review <step>, which is a deliberate authoring pass. - Journeys must work both top-down and bottom-up. Top-down: strategy or roadmap intent can introduce or re-prioritize a journey or step. Bottom-up: engineering discoveries, demo feedback, prototype learning, and customer signal can force a journey refinement, split, merge, or readiness downgrade.
- Daily work should feed journeys with intent, not noise. Not every ticket touches a journey, but every meaningful product behavior change should be able to point to the step it advances, challenges, or invalidates.
- Log every run to
.kb-log/YYYY-MM-DD.log. - Setup decides ownership.
/kb setupproposes the owning layer from the user's role, audience, sources, and desired outputs. The conservative default is to co-locate journeys with the roadmap scope they ground. Cross-layer journey inheritance is allowed by the layer graph but treated as a later enhancement unless the user explicitly configures it. - Journey text stays value-oriented. Step titles describe what the persona can do, learn, decide, or recover from; implementation mechanics belong in step detail, interfaces, or readiness notes.
What ships with it
16 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.
- README.md 2.2 KB
- references/artifact-contract.md 5.1 KB
- references/audit.md 9.9 KB
- references/authoring.md 5.4 KB
- references/command-reference.md 5.3 KB
- references/config-schema.md 3.1 KB
- references/folder-layout.md 2.6 KB
- references/mocks.md 3.9 KB
- references/structure.md 5.0 KB
- scripts/extract_mocks.py 11 KB runs code
- scripts/render_journeys.py 19 KB runs code
- templates/journey-overview.md.hbs 941 B
- templates/journey.html.hbs 4.2 KB
- templates/journey.md.hbs 1.2 KB
- templates/mock-standalone.html.hbs 1.5 KB
- templates/shared.css.hbs 6.2 KB
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 · 241 lines · 128 tokens per session scan A f02e72a2bb6e
kb-journeys is a skill published in the GitHub repository wlfghdr/agentic-kb (10 stars, last pushed 24d ago), licensed Apache-2.0. It adds 128 tokens to every session and 3,249 once invoked, about $0.0006 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.
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