cost-guardrail SKILL.md skillA
cost-guardrail from jpantsjoha/ai-native-developer-experience is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jpantsjoha/ai-native-developer-experience/cost-guardrail@git:20261016.9a80630Pins git:20261016.9a80630 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jpantsjoha/ai-native-developer-experience
- Path
skills/cost-guardrail/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261016.9a80630, committed Oct 16, 2026
- First version recorded
- Aug 7, 2026
- Size
- 4,903 bytes
- Repository stars
- 13
- License
- Apache-2.0
LLM and cloud cost awareness — model tiering, token budgets, right-sizing, and when a cheaper model suffices. Trigger before finalising any architecture that calls LLMs, before scaling a workload, or when a cost estimate is needed.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Cost Guardrail > **The most expensive model is the one running on every request when it does not need to.** LLM cost is not a finance problem — it is an architecture problem. The design determines the bill. This skill enforces cost-awareness as a first-class design constraint, not an afterthought. ## When to use - Designing any system that calls an LLM (directly or via an agent) - Before scaling a workload to higher volumes - When a cost estimate is required for a feature or release - When reviewing an architecture for unbounded cost vectors - When choosing between model tiers for a given task ## Procedure 1. **Identify every LLM call in the system** — list: which agent or component makes the call, the model tier used, the approximate input and output token counts, and the call frequency (per user action / per minute / per batch). 2. **Apply the model tiering test** — for each LLM call, ask: - Does this task require deep reasoning, or is it classification / extraction / reformatting? - Can the task be completed with a smaller or faster model? - Is the model tier choice based on evidence (benchmark, A/B test) or assumption? …
Read the whole file at its exact version.
How to install
mdr add jpantsjoha/ai-native-developer-experience/cost-guardrail@sha256:1dc808b677729e01The line at the top of this page pins the label git:20261016.9a80630, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ddp7o4w6wxtgykf3)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Aug 7, 2026 and Oct 16, 2026, about one every 70 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261016.9a80630 latest | 2026-10-16 | 9a80630 | 4,903 B | A | view · diff |
| git:20260807.c64e31f | 2026-08-07 | c64e31f | 4,542 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4903 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
jpantsjoha/ai-native-developer-experience · 13 stars · license Apache-2.0 · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ddp7o4w6wxtgykf3 GET https://markdownregistry.com/api/v1/resolve?ref=jpantsjoha/ai-native-developer-experience/cost-guardrail GET https://markdownregistry.com/api/v1/blob/1dc808b677729e01af9a1552f4dd9f271bdf0a896652cf12f0a64357013bf8ba
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.