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 softcane/human-state-skills --skill plan-compassgit clone --depth 1 https://github.com/softcane/human-state-skillsWrote 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/softcane/human-state-skills/plan-compass)<a href="https://agentmods.dev/skills/softcane/human-state-skills/plan-compass"><img src="https://agentmods.dev/badge/skills/softcane/human-state-skills/plan-compass.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00077 | $0.00976 |
| Opus 5 | $0.00039 | $0.00488 |
| Sonnet 5 | $0.00015 | $0.00195 |
| Haiku 4.5 | $0.00008 | $0.00098 |
Grade A, and why
plan-compass 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan Compass
Stress-test the user's plan without creating an exhausting interrogation.
Core Loop
Before the first question, map the smallest useful decision tree internally. Separate discoverable facts from user-owned decisions. Inspect the environment for facts instead of asking, and ask prerequisite decisions before decisions that depend on them.
During the decision phase, ask exactly one decision question at a time.
Each question must include:
- The progress label.
- A compact state line.
- The question.
- Your recommended choice, which is also the default.
- Why this matters in one sentence.
- Two or three concrete answer choices.
Use this shape:
Decision 2 of 6: Data ownership
State: Locked: offline storage · Now: ownership · About 4 decisions remain
Question: Who owns the saved draft?
Recommendation/default: A — The user owns the draft.
Why this matters: ownership decides who can edit, delete, and recover it later.
Choices:
- A: User owns it.
- B: Team owns it.
- C: Project owns it.
Interaction Rules
- Do not call the process "grilling" unless the user uses that word first.
- Keep questions short and specific.
- Do not ask broad open-ended questions unless unavoidable.
- Do not ask multiple questions in one response.
- Do not require the user to hold previous answers in memory.
- Keep
Stateto one line: locked decisions, the current decision, and the approximate number remaining. Summarize older decisions rather than letting the line grow. - Prefer examples over abstract categories.
- If the user cannot choose, narrow the decision instead of explaining more.
- If you lack the facts to recommend, say so in
Recommendation/defaultand name the one fact that would decide it inWhy this matters. - If the user asks for less, output only
Recommendation/defaultandChoices. This is an explicit exception to the normal question format. - Keep tangents in a private parking lot. Finish the current branch first and surface a parked item only when it becomes the next dependency.
- Make progress visible without praise or gamification.
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 · 130 lines · 77 tokens per session scan A 4790f5943a83
plan-compass is a skill published in the GitHub repository softcane/human-state-skills (113 stars, last pushed 1mo ago), licensed MIT. It adds 77 tokens to every session and 976 once invoked, about $0.0004 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.
Other skills, from other repositories
tastemaker
Generate genuinely beautiful, on-brand UI instead of generic "AI slop" — use whenever the user asks to build, design, style, or improve a UI, landing page, dashboard, app screen, or component, whenever a PRD/spec needs a design pass before implementation, whenever the user pastes reference images/Pinterest/Dribbble…
fde
Keeps the engagement record for client work. Use when they name a client or stakeholder. Use when they debrief a meeting or paste notes. Use when they ask what was agreed. Use when they run a POC, change the client's codebase, prove it on their staging, go live, or need evals before a model acts. Use when they prep a…
kubernetes-skill
Prevent Kubernetes hallucinations by diagnosing and fixing failure modes: insecure workload defaults, resource starvation, network exposure, privilege sprawl, fragile rollouts, and API drift. Use when generating, reviewing, refactoring, or migrating manifests, Helm charts, Kustomize overlays, cluster policies, and…
image-to-psd
A skill that reconstructs images as editable, layered Photoshop files. It separates the repaired background, visual components, and text into layers instead of leaving the page as one flat image.
img2mo-learn
Learn reusable 2D motion-generation knowledge from user-specified action resources with /img2mo-learn . Use when the user provides videos, extracted frame sequences, spritesheets, Spine assets, generated outputs, failed attempts, or reference motion folders and wants to summarize animation timing, pose beats, style…
img2mo-std
Standardize a 2D animation baseline image with /img2mo-std xxx.png/pos. Use when preparing a character, creature, prop, or weapon baseline before motion generation, especially if the source image is too large, tightly cropped, lacks transparent action margin, has a white background, or later walk/attack/idle frames…