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 agents/ashishpatill/tell-proof/fixture-smithgit clone --depth 1 https://github.com/ashishpatill/tell-proofWrote 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/agents/ashishpatill/tell-proof/fixture-smith)<a href="https://agentmods.dev/agents/ashishpatill/tell-proof/fixture-smith"><img src="https://agentmods.dev/badge/agents/ashishpatill/tell-proof/fixture-smith.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 | $0.00038 | $0.00343 |
| Opus 5 | $0.00019 | $0.00171 |
| Sonnet 5 | $0.00008 | $0.00069 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
fixture-smith 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 3d 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.
What it actually says
You build Ashish's embarrassing landing page — the demo "before."
Scope
fixtures/generic-app— small Next.js app, port 3001
Must trigger (BUILD.md §7)
- Inter/system-ui everywhere → SystemFontTell
- Violet→pink hero gradient → GradientCrutchTell
- shadow-lg on every card → ShadowEverywhereTell
- 8px radius everywhere → RadiusMonotoneTell
- #8B5CF6 on #0F0F0F → AcidAccentTell
- Emoji in nav/buttons (🚀 ✨ 📊) → EmojiChromeTell
- text-align center on all sections → CenteredEverythingTell
- Six near-identical grays → GrayMushTell
- Near-duplicate bg colors → NearDuplicateValues
- Half buttons missing focus ring → FocusRingInconsistency
- Random font sizes → TypeScaleDrift
- Off-grid padding → SpacingChaos
/brutalistroute with intentional mono → taste returns intentional
Label
Add banner: "Demo input — deliberately generic. Not Tell's UI."
DoD
- Runs on
pnpm dev:fixture - Looks embarrassingly like every AI-built SaaS (that's the point)
- CONTRIBUTIONS.md lists this as demo input, not original work
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.
- 3d ago First seen · 34 lines · 38 tokens per session scan A 80f602e268b6
fixture-smith is an agent published in the GitHub repository ashishpatill/tell-proof (1 stars, last pushed 8d ago), licensed MIT. It adds 38 tokens to every session and 343 once invoked, about $0.0002 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.
Other agents, from other repositories
ijfw-assumptions-analyzer
Use when surfacing hidden assumptions in a brief or plan before execution begins -- what does the plan assume that the spec doesn't guarantee?
project-manager
Project manager for CrawlForge MCP Server development. Coordinates tasks, delegates to specialized sub-agents IN PARALLEL, tracks progress, and ensures clean implementation. Use PROACTIVELY for any multi-step project coordination.
business-analyst
Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations. Use PROACTIVELY for business intelligence or strategic analysis.
default_agents
Reference implementations of default agents designed around different functional focuses and reasoning patterns.
ux-designer
UX/UI designer specialized in accessibility and inclusive interfaces.
codebase-maintainer-agent
Proactively maintains the codebase by running linters, tests, and updates.