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 ychampion/cskill-agents --skill budget-aware-skill-listing-formattinggit clone --depth 1 https://github.com/ychampion/cskill-agentsWrote 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/ychampion/cskill-agents/budget-aware-skill-listing-formatting)<a href="https://agentmods.dev/skills/ychampion/cskill-agents/budget-aware-skill-listing-formatting"><img src="https://agentmods.dev/badge/skills/ychampion/cskill-agents/budget-aware-skill-listing-formatting/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/ychampion/cskill-agents/budget-aware-skill-listing-formatting"><img src="https://agentmods.dev/badge/skills/ychampion/cskill-agents/budget-aware-skill-listing-formatting.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 | $0.00032 | $0.00415 |
| Opus 5.5 | $0.00013 | $0.00166 |
| Sonnet 5.5 | $0.00006 | $0.00083 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
budget-aware-skill-listing-formatting 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 1mo 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
SKILL: Budget-Aware Skill Listing Formatting
Domain: skill-listing Trigger: Apply when a skill or command listing must fit the active model's real context budget instead of assuming a fixed token allowance. Source Pattern: Distilled from reviewed command-surface, skill-discovery, and CLI capability implementations.
Core Method
Compute the formatting budget from the actual runtime model configuration rather than hard-coding a static limit. Ask the model/runtime layer for the current context window, including any beta-specific adjustments, then pass the candidate skill set through a formatter that trims or structures the listing to stay within that budget. This keeps the attachment aligned with whichever model is active and prevents a large registry from overflowing the prompt just because the runtime changed.
Key Rules
- Derive the token budget from the active model and runtime flags at the time of formatting, not from a constant baked into the attachment code.
- Feed the budgeted formatter only the delta set that actually needs to be announced, not the entire registry every time.
- Keep budget calculation and formatting adjacent so future model changes cannot update one without the other.
- Treat formatting as a budget-enforcement step, not just string rendering; if the budget shrinks, the emitted listing must shrink too.
Example Application
If a coding agent can run under different model sizes, first resolve that session's context window from the selected model and beta flags, then format the newly available slash commands so the attachment fits inside that window. A smaller model gets a tighter listing automatically without maintaining a second code path.
Anti-Patterns (What NOT to do)
- Do not dump the raw command list directly into the prompt and hope the active model has enough room.
- Do not hard-code one token limit for every model; listings that fit one runtime may overflow another.
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.
- 1mo ago First seen · 28 lines · 32 tokens per session scan A 96888b11e673
budget-aware-skill-listing-formatting is a skill published in the GitHub repository ychampion/cskill-agents (36 stars, last pushed 6mo ago), licensed MIT. It adds 32 tokens to every session and 415 once invoked, about $0.0001 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 2026-08-30.
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