sum-fast SKILL.md skillA

sum-fast from intel/dokimi is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add intel/dokimi/sum-fast@git:20261106.08c2c8d

Pins git:20261106.08c2c8d in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: intel/dokimi
Path: dokimi/tests/fixtures/fidelity/skill/sum-fast/SKILL.md
Versions recorded: 1
Latest version: git:20261106.08c2c8d, committed Nov 6, 2026
Size: 247 bytes
Repository stars: 11
License: Apache-2.0

Use when summing a list of numbers in Python and the sum has to be fast; a reduction beats a loop.

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

# sum-fast

Sum with a single reduction, not an index loop. Check the result against `sum()` on a small input.

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add intel/dokimi/sum-fast@sha256:f73d8ece133b1a99

The line at the top of this page pins the label git:20261106.08c2c8d, 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.

Badge

[![mdr](https://markdownregistry.com/badge/art_ixzmfffi7j3zcbr7.svg)](https://markdownregistry.com/a/art_ixzmfffi7j3zcbr7)

0 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Nov 6, 2026.

version	committed	commit	size	audit
git:20261106.08c2c8d latest	2026-11-06	08c2c8d	247 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (247 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

GitHub

intel/dokimi · 11 stars · license Apache-2.0 · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ixzmfffi7j3zcbr7
GET https://markdownregistry.com/api/v1/resolve?ref=intel/dokimi/sum-fast
GET https://markdownregistry.com/api/v1/blob/f73d8ece133b1a99ccc0ca62407e6c9f1635c74e58eb7cc24f0b04df8b12545b

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.