work-skills

work-skills is a skill for Claude Code, Codex from manishiitg/coding-agent-loop. It costs 41 tokens per session (866 once invoked), scanned A, original, MIT.

A skill manager for Work projects or accounts. It lets users find, install, import, create, choose, and remove reusable capabilities.

In plain words
What is it for?
Use it to add capabilities to a project, select the skills it can use, or remove skills that are no longer needed.
Why use it?
It provides one place to control which reusable skills are available, instead of managing each capability separately.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to add capabilities to a project, select the skills it can use, or remove skills that are no longer needed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/manishiitg/coding-agent-loop/work-skills
Install

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.

Any agent
npx skills add manishiitg/coding-agent-loop --skill work-skills
Clone the repo
git clone --depth 1 https://github.com/manishiitg/coding-agent-loop

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for work-skills

README.md
[![agentmods](https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/work-skills/github.svg)](https://agentmods.dev/skills/manishiitg/coding-agent-loop/work-skills)
Your own site
<a href="https://agentmods.dev/skills/manishiitg/coding-agent-loop/work-skills"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/work-skills/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.

agentmods 80×15 button for work-skills

Your own site · 80×15
<a href="https://agentmods.dev/skills/manishiitg/coding-agent-loop/work-skills"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/work-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 866 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00866
Opus 5.5 $0.00016 $0.00346
Sonnet 5.5 $0.00008 $0.00173
Haiku 4.5 $0.00004 $0.00087

Measured 25d ago against content hash 3f4a03d6e608, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

work-skills 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 25d 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.

agent_go/internal/workproduct/skills/work-skills/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Crew skills

Decide whether this belongs in memory or a skill

  • Use root MEMORY.md for project-specific truths: verified facts, preferences, decisions, constraints, corrections, and durable context. Test the content with “Crew should remember that…”.

  • Use skills/<skill-name>/SKILL.md for a reusable procedure: when it applies, ordered actions, checks, tools, expected output, and failure handling. Test it with “When asked to do X, Crew should…”.

  • If both are relevant, keep the fact in memory and the procedure in the skill, then link them rather than duplicating instructions.

  • Put temporary status, raw chat, guesses, secrets, and reliably retrievable live information in neither.

  • Memory may be updated proactively after stable verification. A skill changes only when the user explicitly asks to preserve, create, or improve a reusable procedure.

  • Use list_skills to inspect what is already installed before searching or creating another skill. Use search_skills to discover an existing skill.

  • Use install_skill for a discovered skill and import_skill for a supplied skill source. Installation is account-level; selecting it for this project is a separate action. Call update_project_skill_selection(action="select", skill="folder-name") with the exact folder returned by list_skills. Use action="deselect" to remove only this project's selection. The same selection remains editable in Setup > Skills.

  • When the user explicitly asks to preserve or improve a repeatable procedure, create or update a focused custom skill inside this Crew project at skills/<skill-name>/SKILL.md. This is project-local durable knowledge, like the root MEMORY.md; never write it into the account-wide skills/custom/ library. Inspect the names and descriptions of every existing project skill before choosing a destination, then select the skill for this project with update_project_skill_selection so the runtime can load it.

  • Update an existing skill only when the new knowledge has the same topic and would be loaded for the same kind of future request. Create a separate, clearly named skill when the topic, external system, audience, trigger, or intended outcome differs. A single request may create or update several skills when it contains independently reusable topics.

  • Do not use one custom skill as general project memory, append unrelated notes to the most recently edited skill, or combine topics merely because they were discussed in the same conversation. If an existing skill has already become a catch-all, split the relevant material into focused skills when updating it. Keep the normal Crew identity; skill authoring is a capability, not a separate chat persona.

  • A custom skill needs concise YAML frontmatter with name and description, followed by only the non-obvious instructions that improve future work. Add scripts or references only when they provide concrete reusable value. Keep SKILL.md small: target 150 lines or fewer. Move detailed examples, background explanations, schemas, and lookup tables into focused files under references/; move repeatable executable logic into scripts/. If the core instructions still grow beyond that target, split the skill by topic or trigger instead of making the main file longer.

  • Never store credentials or secret values in a skill. Document required secret names and use the Secrets system at runtime.

  • Before removing a skill, identify the exact installed name and explain that uninstall_skill removes the account-level installation, not only this project's selection.

  • Load and follow a selected skill when its description matches the task. A skill does not grant filesystem, secret, network, MCP, or tool permissions beyond the current user and project.

Read the full file on GitHub · 66 lines

Changes

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.

  1. 25d ago Changed · +19 lines 3f4a03d6e608
  2. 28d ago Changed · +3 lines acedd4bedc0c
  3. 1mo ago Changed · +15 lines 863aabc65704
  4. 1mo ago First seen · 29 lines · 41 tokens per session scan A 9ace53f917f3

Subscribe to this mod's changes

work-skills is a skill published in the GitHub repository manishiitg/coding-agent-loop (13 stars, last pushed 19d ago), licensed MIT. It adds 41 tokens to every session and 866 once invoked, about $0.0002 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 2026-09-15.

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