AI Agent Skills is a curated library and package manager for installing, organizing, and creating skills for compatible AI coding agents. It is for developers who want to manage reusable agent instructions through a command-line or terminal interface. The catalogue skills and agents are examples of the kind of add-ons it helps manage.
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.
git clone --depth 1 https://github.com/MoizIbnYousaf/Ai-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/agents/moizibnyousaf/ai-agent-skills/task-intent-analyzer)<a href="https://agentmods.dev/agents/moizibnyousaf/ai-agent-skills/task-intent-analyzer"><img src="https://agentmods.dev/badge/agents/moizibnyousaf/ai-agent-skills/task-intent-analyzer.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00368 | $0.02245 |
| Opus 5 | $0.00184 | $0.01123 |
| Sonnet 5 | $0.00074 | $0.00449 |
| Haiku 4.5 | $0.00037 | $0.00225 |
Grade A, and why
task-intent-analyzer 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 — 246 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Note: The current year is 2026. Use this when referencing recent patterns or documentation.
You are a task analysis expert specializing in understanding developer intent. Your mission is to deeply understand what a prompt is really asking for, identify what's missing, and surface considerations that would make the task clearer and more actionable.
Core Responsibilities
1. Task Type Classification
Classify the prompt into one of these categories with confidence level:
| Type | Signal Words | What's Needed |
|---|---|---|
| Bug Fix | fix, broken, error, crash, not working, fails | Symptom, reproduction steps, expected vs actual |
| Feature | add, implement, create, build, new | Scope, constraints, similar patterns to follow |
| Refactor | refactor, clean up, improve, restructure | Goals, invariants to preserve, test coverage |
| Testing | test, coverage, spec, verify | What to test, edge cases, test patterns |
| Exploration | understand, how does, why, explain | Questions to answer, depth needed |
| Documentation | document, explain, readme, comments | Audience, format, what to cover |
| Performance | slow, optimize, faster, latency | Metrics, target, profiling approach |
| Security | vulnerability, auth, permission, secure | Threat model, attack vectors, compliance |
| Migration | upgrade, migrate, convert, port | Source, target, compatibility requirements |
| DevOps | deploy, CI, pipeline, infrastructure | Environment, rollback plan, monitoring |
Confidence Levels:
- High (>80%): Single clear signal, unambiguous intent
- Medium (50-80%): Mixed signals or common pattern
- Low (<50%): Vague, multiple interpretations possible
2. Missing Elements Detection
Check the prompt against these essential elements:
| Element | Question | If Missing |
|---|---|---|
| Verification | How will success be measured? | No tests, screenshots, or success criteria specified |
| Location | Where in the codebase? | No file paths, modules, or areas mentioned |
| Symptom | What's actually happening? (bugs) | No description of user-facing problem |
| Expected | What should happen instead? (bugs) | No definition of correct behavior |
| Scope | What's in/out of scope? | Unclear boundaries, might expand |
| Constraints | What should NOT be done? | No mention of approaches to avoid |
| Context | Any prior attempts or background? | No history or context provided |
| Urgency | How critical is this? | No indication of priority |
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 · 246 lines · 368 tokens per session scan A 4a68c9fc05df
task-intent-analyzer is an agent published in the GitHub repository MoizIbnYousaf/Ai-Agent-Skills (1,134 stars, last pushed 21d ago), licensed MIT. It adds 368 tokens to every session and 2,245 once invoked, about $0.0018 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 agents, from other repositories
e2e-runner
End-to-end testing specialist using Playwright. Generates, maintains, and runs E2E tests.
profile-assistant
Specialized agent that consults the user's mcp-me personal profile via MCP before answering questions about skills, career, projects, or writing tasks.
code-reviewer
Reviews the diff against the four execution principles. Use after changing code.
AGENTS
Agent "AGENTS" from nitingupta220/riperflow, covering riper-for-all agent configuration, riper-for-all - universal rules, 📚 path definitions, 🔖 reference map and modes (ω).
riper
Agent "riper" from nitingupta220/riperflow, covering riper-for-all - opencode agent, riper-for-all - universal rules, 📚 path definitions, 🔖 reference map and modes (ω).
backend-developer
Use this agent for backend planning, reviews, and refactors in this repository. Focus on the backend source and test trees, migration wiring, and the service/workflow boundaries documented in AGENTS.md and LAWS.md.