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 agentmods add skills/eid0lon/zero-slop/reality-skillnpx skills add Eid0lon/zero-slop --skill reality-skillgit clone --depth 1 https://github.com/Eid0lon/zero-slopWrote 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/eid0lon/zero-slop/reality-skill)<a href="https://agentmods.dev/skills/eid0lon/zero-slop/reality-skill"><img src="https://agentmods.dev/badge/skills/eid0lon/zero-slop/reality-skill.svg" alt="Measured on agentmods" 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 | $0.00098 | $0.01456 |
| Opus 5 | $0.00049 | $0.00728 |
| Sonnet 5 | $0.00020 | $0.00291 |
| Haiku 4.5 | $0.00010 | $0.00146 |
Grade A, and why
reality-skill 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 5d 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reality Skill
Reality Skill turns attractive screens into usable product workflows. It does not ask "does this look like an app?" It asks "can the intended user complete the job, recover from problems, and trust what the UI claims?"
Use this skill aggressively whenever a request says app, tool, dashboard, portal, editor, workflow, CRUD, form, checkout, onboarding, settings, upload, export, invite, generate, sync, connect, save, publish, deploy, analyze, or review.
Command Interface
Use references/command-interface.md.
Primary commands:
reality --audit [target]
reality --fix [target]
reality --build [brief-or-target]
reality --harden [target]
reality --judge [target]
reality --verify [target]
reality -e --audit [target]
Short flags:
-a,--audit: find dead actions, fake data, missing states, weak workflows.-f,--fix: make the smallest workflow-real implementation.-b,--build: build the real workflow model while creating a new app surface.--harden: add durability, recovery, validation, accessibility, and edge-state coverage.-j,--judge: score the app against the reality gates.--verify: prove the primary workflow by tests, build checks, and browser checks when possible.-e,--economy: skip live judge agents and use deterministic checks plus local review.
Default mode:
- Existing UI target:
--fix. - New app brief:
--build. - Review-only request:
--audit.
First Action
Load steps/step-00-command-router.md.
Step 00 parses the command, discovers project shape, loads only the needed references, and routes to audit, fix, build, harden, judge, or verify.
Core References
Load only what the task needs:
references/command-interface.md: grammar, mode precedence, output contracts.references/reality-gates.md: the twelve gates that define "not demoware."references/app-archetypes.md: workflow expectations for dashboards, CRUD, editors, checkout, AI tools, integrations, onboarding, settings, and auth-like surfaces.references/implementation-playbook.md: concrete patterns for data models, actions, state machines, validation, persistence, optimistic updates, undo, and honest mocks.references/truth-boundaries.md: how to represent sample data, unavailable services, auth, payments, exports, AI, analytics, and integrations without lying.references/verification-playbook.md: build, test, browser, persistence, accessibility, responsive, and smoke-test proof.references/judge-system.md: reality judge protocol and scoring gates.
What ships with it
15 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.
- agents/openai.yaml 438 B
- references/app-archetypes.md 3.6 KB
- references/command-interface.md 2.2 KB
- references/implementation-playbook.md 4.1 KB
- references/judge-system.md 1.5 KB
- references/reality-gates.md 4.3 KB
- references/truth-boundaries.md 2.8 KB
- references/verification-playbook.md 2.2 KB
- scripts/reality_cli.py 6.9 KB runs code
- scripts/test_reality_cli.py 1.5 KB runs code
- steps/step-00-command-router.md 1.2 KB
- steps/step-01-reality-contract.md 853 B
- steps/step-02-forensic-audit.md 923 B
- steps/step-03-real-implementation.md 826 B
- steps/step-04-verify-and-harden.md 693 B
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.
- 5d ago First seen · 145 lines · 98 tokens per session scan A 89d5f13e51c4
reality-skill is a skill published in the GitHub repository Eid0lon/zero-slop (12 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 98 tokens to every session and 1,456 once invoked, about $0.0005 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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