run-work SKILL.md skillA
run-work from hashgraph-online/awesome-codex-plugins is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add hashgraph-online/awesome-codex-plugins/run-work@git:20260604.8378e76Pins git:20260604.8378e76 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- hashgraph-online/awesome-codex-plugins
- Path
plugins/AgiFlow/ai-plugin/skills/run-work/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260604.8378e76, committed Jun 4, 2026
- Size
- 10,493 bytes
- Repository stars
- 1,537
- License
- Apache-2.0
Execute a work unit end-to-end: sequence tasks by dependency, implement, test between tasks, commit, and track progress. Use to deliver a complete feature in one session. Invoked as /agiflow:run-work <work-unit>. Uses get_work_unit, list_tasks, update_task, get_work_unit_progress.
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
> Invoked as `/agiflow:run-work`. In hosts without slash-prompts, this skill is triggered by matching intent and drives AgiFlow via its MCP tools. **Usage**: - `/agiflow:run-work <work-unit-slug-or-id>` - Execute specific work unit - `/agiflow:run-work` - List and select from available work units **Examples**: - `/agiflow:run-work DXX-WU-1` (using slug) - `/agiflow:run-work 01K8FABMNEJG1XTA9JGHSNFV40` (using ID) - `/agiflow:run-work` (interactive selection) --- **Guardrails** - Favor straightforward, minimal implementations first and add complexity only when it is requested or clearly required. - Keep changes tightly scoped to the requested outcome within the work unit scope. - A work unit represents a cohesive feature/epic that can be completed in one Claude Code session. If a work unit slug/id is provided, load it with `get_work_unit`; otherwise list available work units with `list_work_units` for selection. --- ## AgiFlow Project Management Guidelines …
Read the whole file at its exact version.
How to install
mdr add hashgraph-online/awesome-codex-plugins/run-work@sha256:9a3635049a32261bThe line at the top of this page pins the label git:20260604.8378e76, 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_vvlity6v57okbbay)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jun 4, 2026.
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 (10493 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
hashgraph-online/awesome-codex-plugins · 1,537 stars · license Apache-2.0 · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vvlity6v57okbbay GET https://markdownregistry.com/api/v1/resolve?ref=hashgraph-online/awesome-codex-plugins/run-work GET https://markdownregistry.com/api/v1/blob/9a3635049a32261b3921a8dd0f145b40abbd37cb481683eb17109f05e8e37245
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.