Borrowing it
Nothing to install: this file belongs to truss-harness/Truss. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/truss-harness/Truss/master/.skills/truss-settings-page/SKILL.mdgit clone --depth 1 https://github.com/truss-harness/TrussWrote 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/truss-harness/truss/truss-settings-page)<a href="https://agentmods.dev/skills/truss-harness/truss/truss-settings-page"><img src="https://agentmods.dev/badge/skills/truss-harness/truss/truss-settings-page/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/truss-harness/truss/truss-settings-page"><img src="https://agentmods.dev/badge/skills/truss-harness/truss/truss-settings-page.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 | $0.00105 | $0.01072 |
| Opus 5 | $0.00053 | $0.00536 |
| Sonnet 5 | $0.00021 | $0.00214 |
| Haiku 4.5 | $0.00011 | $0.00107 |
Grade A, and why
truss-settings-page 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 11d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Truss Settings Page
Use this skill before changing the settings experience or its supporting APIs.
Core Rules
- Keep
/settingsseparate from the chat workspace layout. A small navigation link from chat is fine; the settings screen itself should render throughSettingsScreen. - Organize the settings screen as tabs, not one long scrolling page.
- In Connections, keep provider identity/status visible, but hide endpoint/default-model/secret fields until the provider is enabled. Explain what each provider is and what its Base URL means.
- Do not add a manual provider models textarea on the settings page; providers should use their
/modelsendpoint for model choices. - Keep provider secrets write-only. UI inputs may rotate or remove secrets, but route responses must only expose configured/encrypted/source status.
- Store provider API keys through
SecretEnvStore, not SQLite. - Store prompt templates in
system_prompt_settings; render them server-side before model calls. - Stack conversation and agentic prompt editors vertically. Include template syntax help and a Restore default action.
- Store thinking/tool replay preferences in
conversation_history_settings; keep prompt-only history augmentation out of stored transcript content. - Show the agentic tool turn limit in the AI Behaviour tab alongside reasoning-budget controls. The values are stored in
rich_feature_settingsasagentic_tool_turn_limit_enabledandagentic_tool_turn_limit, defaulting to enabled and 300. - Store rich renderer preferences in
rich_feature_settings; keep the base system prompt template editable separately from rich-feature prompt appendices. - Keep customization fields on the existing
first_run_setupsingleton:nickname,location, andpreferredLanguage. - Show local storage paths through
/api/settings/system; do not guess paths in the browser. Explain what the database, Truss home, encrypted env file, and dotenvx key file are for.
File Map
src/client/components/SettingsScreen.tsx: standalone settings UI.src/client/App.tsx: route switch for/settings.src/client/api.ts: browser fetch helpers for setup, providers, history, rich features, system prompts, and system settings.src/server/http/routes-settings.ts: settings route validation and sanitized responses.src/server/prompts/system-prompts.ts: default templates and Mustache-style renderer.src/server/storage/history-settings.ts: thinking/tool history preference repository.src/server/storage/rich-feature-settings.ts: smart table/event, PlantUML, and KaTeX preference repository.src/server/storage/system-prompts.ts: prompt-template repository.src/server/storage/migrations.ts: schema changes.docs/settings.md: user-facing settings docs.docs/database-schema.md: schema docs for settings tables.
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.
- 11d ago First seen · 66 lines · 105 tokens per session scan A 181a94981ca5
truss-settings-page is a skill published in the GitHub repository truss-harness/Truss (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 105 tokens to every session and 1,072 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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