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 biulight/shine --skill shine-preset-authorgit clone --depth 1 https://github.com/biulight/shineWrote 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/biulight/shine/shine-preset-author)<a href="https://agentmods.dev/skills/biulight/shine/shine-preset-author"><img src="https://agentmods.dev/badge/skills/biulight/shine/shine-preset-author/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/biulight/shine/shine-preset-author"><img src="https://agentmods.dev/badge/skills/biulight/shine/shine-preset-author.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 | $0.00047 | $0.01002 |
| Opus 5.5 | $0.00019 | $0.00401 |
| Sonnet 5.5 | $0.00009 | $0.00200 |
| Haiku 4.5 | $0.00005 | $0.00100 |
Grade A, and why
shine-preset-author 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 16d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shine Preset Author
Produce reviewable preset sources using the installed shine binary's templates and validator.
Infer routine details from the request and existing files. Ask only for missing choices that
materially affect the result; do not require a confirmation round before authorized authoring.
Follow the user's language for questions and results.
Authorization boundary
- Author only in the requested workspace, outside active Shine configuration and preset roots. Never link a source/overlay, activate a preset, grant trust, or run a real install, upgrade, bootstrap, artifact, hook, generator, or preset script in this workflow.
- Validation is static.
shine preset planis a hypothetical report, never an approval or input to apply. Author capability statements do not grant trust, authority, or runtime confinement. - Use a fresh temporary
SHINE_CONFIG_DIRfor scaffolding as well as runtime dry-runs:preset newandpreset copycan initialize config. Set it per command; clean up only the exact temporary directory created for this task. Never supply real secrets to checks. - User instructions override workflow preferences; authoring authorization does not include activation. If a request also needs live changes, finish the reviewable sources first and identify the separate action and its authorization requirements. If this boundary blocks work, cite this file and the relevant rule rather than inventing an approval requirement.
Authoring
- Establish the outcome, target platforms, destinations, and required input names from the
request or existing preset. Check
shine preset validate --helponce for the installed binary. Useshine preset schema --format jsonwhen report, fixture, or bundle contracts are needed; it describes those contracts and live help, not the entire preset TOML grammar. If a needed command is unavailable, report that limitation without guessing support or upgrading Shine. - Read only the reference for each kind being changed: app, shell, or sys. A request spanning kinds may use more than one; unrelated kinds need no review.
- Edit an existing category in place. For a new
<repository>/<kind>/<name>/, runSHINE_CONFIG_DIR=<temp>/shine shine preset new <kind>from the empty category directory. For a built-in copy, runSHINE_CONFIG_DIR=<temp>/shine shine preset copy <kind>/<name>from the workspace root; it creates the category path. Preserve referenced support files and unrelated edits; do not scaffold over an existing category. - Keep explicit
shine.tomlmetadata and referenced sources, scripts, fragments, and dependency files inside the category. Do not add empty permission tables or repeat commands/script paths already expressed by typed metadata. Optional capability statements stay at the proper target boundary. Supported App Bun code must accurately declare statically identified effects;opaque_code = "unrestricted"never bypasses analysis. Environment inputs and Administrator requirements remain explicit executor contracts. Never put argv, values, ciphertext, credentials, or physical checkout paths in these tables.
What ships with it
4 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.
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.
- 16d ago Changed · +4 lines b33e4d1efe50
- 1mo ago Changed · +2 lines 7fdd66d1a09c
- 2mo ago Changed · -29 lines · -35 tokens per session aea48371ad1e
- 2mo ago Changed · +22 lines · +5 tokens per session ba87b759fad4
- 2mo ago First seen · 70 lines · 77 tokens per session scan A 74458a975904
shine-preset-author is a skill published in the GitHub repository biulight/shine (6 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 1,002 once invoked, about $0.0002 per session on Opus 5.5. 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.
shine-preset-author compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| shine-preset-authorbiulight/shine | Skill | 6 | yesterday | MIT | A | 47 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |