input-token-overheads SKILL.md skillA
input-token-overheads from moonlight-lupin/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add moonlight-lupin/agent-skills/input-token-overheads@v1.9.0Pins v1.9.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- moonlight-lupin/agent-skills
- Path
agent-ops/input-token-overheads/SKILL.md- Versions recorded
- 7
- Latest version
- v1.9.0, committed Oct 27, 2026
- First version recorded
- Aug 24, 2026
- Size
- 25,876 bytes
- Repository stars
- 114
- License
- MIT
Use when the context window fills too fast, per-turn input token cost is too high, or the aggregate input token bill needs explaining and fixing. Two audits: (1) overhead — tool schemas, skills index, system fixed text, user profile, memory recall measured live, ranked, reduced; (2) cost accounting — total input token volume across sessions, cron fires, and tool traffic, with cache-aware interpretation, pre-checked config levers, and scheduled delta checks. scripts/audit_overheads.py for…
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
# Input Token Overheads Audit every source of input token cost on a Hermes Agent instance, at two scopes. Measure each, rank by cost, act on the top consumers. - **Per-turn overhead audit** — what the system prompt costs every turn: tool schemas, skills index, system fixed text, user profile, memory recall. Script: `scripts/audit_overheads.py`. - **Aggregate cost-accounting audit** — total input token volume across sessions, cron fires, and tool traffic: where the tokens went, which consumers dominate, what config or prompt change reduces them. Script: `scripts/audit.py`. (Merged from the former `input-token-analysis` skill; v1.9.) Per-turn context-window health is the overhead audit's job; provider billing disputes need the provider's usage dashboard — local telemetry cannot see provider-side caching. ## When to Use - User says "token overhead", "context too large", "why is input so expensive" - Model output quality degrades from context dilution - Cost optimization — fewer input tokens per turn means lower API spend - After adding skills, plugins, or tools — verify the overhead delta …
Read the whole file at its exact version.
How to install
mdr add moonlight-lupin/agent-skills/input-token-overheads@sha256:a39fcc61bc92e54aThe line at the top of this page pins the label v1.9.0, 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_hvmiutzuxs3skuhh)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between Aug 24, 2026 and Oct 27, 2026, about one every 11 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.9.0 latest | 2026-10-27 | 6ff26fa | 25,876 B | A | view · diff |
| v1.8.1 | 2026-10-27 | d944b01 | 12,336 B | A | view · diff |
| v1.5.0 | 2026-09-12 | f1156ba | 11,858 B | A | view · diff |
| v1.4.0 | 2026-08-24 | 70778ee | 11,410 B | A | view · diff |
| v1.4.0 | 2026-08-24 | 8d9fe9a | 11,385 B | A | view · diff |
| v1.3.0 | 2026-08-24 | e618293 | 10,733 B | A | view · diff |
| v1.3.0 | 2026-08-24 | 48267b6 | 10,713 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 (25876 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
moonlight-lupin/agent-skills · 114 stars · license MIT · pushed 2026-10-30 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_hvmiutzuxs3skuhh GET https://markdownregistry.com/api/v1/resolve?ref=moonlight-lupin/agent-skills/input-token-overheads GET https://markdownregistry.com/api/v1/blob/a39fcc61bc92e54a86c2eda3e51bba3c813b619e36c0f9325ed148e19b65cc3e
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.