task-intent-analyzer

A prompt-review agent that works out what kind of coding task you are asking for and what information may be missing. It also points out unclear parts and possible edge cases.

In plain words
What is it for?
Use it to review requests for bug fixes, features, refactors, and similar coding work before handing them to another agent.
Why use it?
It helps expose ambiguity before work begins, reducing the chance that an agent solves the wrong problem or misses needed checks and constraints.

Agent

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.

agentmods
npx agentmods add agents/pepebot-space/skills/task-intent-analyzer
Clone the repo
git clone --depth 1 https://github.com/pepebot-space/skills
Per session 368 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,245 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00368 $0.02245
Opus 5 $0.00184 $0.01123
Sonnet 5 $0.00074 $0.00449
Haiku 4.5 $0.00037 $0.00225

Measured 2d ago against content hash 4a68c9fc05df, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 2d 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.

best-practices/agents/task-intent-analyzer.md · 246 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2d ago First seen · 246 lines · 368 tokens per session scan A 4a68c9fc05df

Subscribe to this mod's changes

task-intent-analyzer is an agent published in the GitHub repository pepebot-space/skills (2 stars, last pushed 6mo ago), with no licence file. 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 2026-08-31.