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.
npx skills add PaulRBerg/agent-skills --skill skill-harmonizationgit clone --depth 1 https://github.com/PaulRBerg/agent-skillsWrote 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.
[](https://agentmods.dev/skills/paulrberg/agent-skills/skill-harmonization)<a href="https://agentmods.dev/skills/paulrberg/agent-skills/skill-harmonization"><img src="https://agentmods.dev/badge/skills/paulrberg/agent-skills/skill-harmonization.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00020 | $0.01748 |
| Opus 5 | $0.00010 | $0.00874 |
| Sonnet 5 | $0.00004 | $0.00350 |
| Haiku 4.5 | $0.00002 | $0.00175 |
Grade A, and why
skill-harmonization 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Harmonization
If these instructions are already present from a slash or dollar invocation, follow them directly; do not invoke this skill again through a skill tool.
Treat the current Git repository and relevant user-installed skills as one repository-centered portfolio. Inventory it mechanically, distinguish defects from judgment calls and deliberate relationships, then report, plan, or implement according to the invoking task's authority.
Success means every repository skill was considered against relevant repository and user candidates, every conclusion has path and client evidence, observations remain separate from inference, and the selected mode ends with appropriate findings, recommendations, validation, and deliberate no-change conclusions.
Input and Prerequisites
[task] is optional free-form guidance. Use it to narrow the question, desired outcome, or authorized implementation
scope. If it is absent, infer intent from the surrounding request; an invocation without write intent is read-only.
-
Require
ai-skillet0.1.0 or newer onPATH. If it is unavailable or too old, stop and ask the user to install or upgrade it. -
Require
gitonPATH, then resolve the current repository withgit rev-parse --show-toplevel. Do not read Git history. If Git is unavailable, stop with:skill-harmonization: Git is required and was not found on PATH.If repository resolution fails, stop with:
skill-harmonization: run from inside a Git repository.
Authority and Mode
Derive behavior from the user's task and the host's authority rules; this skill does not introduce its own phase gate.
- For inspection, audit, review, diagnosis, or an invocation with no write intent, investigate and return an assessment. Do not edit.
- For a planning request, return a decision-complete plan grounded in the inventory and static evidence. Do not implement it.
- For an implementation request, apply the authorized changes, validate them, and report the resulting portfolio.
- Do not force a report-first step, saved report, plan approval, or implementation phase. Ask only when an unresolved choice changes scope, safety, or intended outcome.
- Preserve normal confirmation boundaries for renames, removals, destructive actions, and global skills whose canonical source ownership remains unknown.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 177 lines · 20 tokens per session scan A e280f74225c8
skill-harmonization is a skill published in the GitHub repository PaulRBerg/agent-skills (70 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 1,748 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…