aget-record-observation

aget-record-observation is a skill for Claude Code from aget-framework/template-advisor-aget. It costs 42 tokens per session (1,213 once invoked), scanned A, a copy of aget-record-observation, Apache-2.0.

A skill for saving research observations to the AGET knowledge base, a shared store for findings and research vocabulary. It can record discoveries, proposed research questions, patterns, gaps, and other observations without committing formal specifications.

In plain words
What is it for?
Use it to capture observations from the current session, optionally with a time budget, or to record a specific finding supplied as text.
Why use it?
Useful findings can be lost during a long research session, especially when they are not ready to become requirements or specifications. This preserves them for later work.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Good fit Use it to capture observations from the current session, optionally with a time budget, or to record a specific finding supplied as text.

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Install with agentmods
npx agentmods add skills/aget-framework/template-advisor-aget/aget-record-observation
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 aget-framework/template-advisor-aget --skill aget-record-observation
Clone the repo
git clone --depth 1 https://github.com/aget-framework/template-advisor-aget

Made for: Claude Code.

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 aget-record-observation

README.md
[![agentmods](https://agentmods.dev/badge/skills/aget-framework/template-advisor-aget/aget-record-observation/github.svg)](https://agentmods.dev/skills/aget-framework/template-advisor-aget/aget-record-observation)
Your own site
<a href="https://agentmods.dev/skills/aget-framework/template-advisor-aget/aget-record-observation"><img src="https://agentmods.dev/badge/skills/aget-framework/template-advisor-aget/aget-record-observation/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 aget-record-observation

Your own site · 80×15
<a href="https://agentmods.dev/skills/aget-framework/template-advisor-aget/aget-record-observation"><img src="https://agentmods.dev/badge/skills/aget-framework/template-advisor-aget/aget-record-observation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,213 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 100% copy Near-identical to another mod 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 $0.00042 $0.01213
Opus 5 $0.00021 $0.00607
Sonnet 5 $0.00008 $0.00243
Haiku 4.5 $0.00004 $0.00121

Measured 9d ago against content hash ce2bbe98f535, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

aget-record-observation 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 9d 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.

Origin

This is a copy

100% identical to aget-record-observation — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/aget-record-observation/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Record Protocol (v2 - Autonomous-Explicit Continuum)

You are recording research observations for the AGET knowledge base.

Renamed: /aget-record-observation/aget-record-observation per S-V-O naming convention (L584) and ACM SIGSOFT "Observation" grounding.

Input

$ARGUMENTS

Mode Detection

Detect the input mode based on $ARGUMENTS:

Input Pattern Mode Behavior
Empty or blank Autonomous Scan session, identify and capture valuable signals (~2 min)
Time pattern: 5min, 10 min, 20min, 30 min Time-Budget Scan session with depth scaled to time budget
Text with signal keywords Explicit Capture the specific signal provided
Other text Explicit Capture as general observation

Mode 1: Autonomous (no args)

When invoked as /aget-record-observation with no arguments:

  1. Scan recent session conversation for valuable signals
  2. Identify vocabulary candidates, patterns, RQs, findings, gaps
  3. Prioritize by novelty and AGET governance value
  4. Capture top 3-5 signals to session file with classification
  5. Report what was captured

Mode 2: Time-Budget (duration arg)

When invoked as /aget-record-observation <duration> (e.g., /aget-record-observation 10min):

Time Budget Depth Actions
2-5 min Shallow Scan + capture raw signals to session file
10 min Medium Classify + link signals to existing vocabulary terms
20 min Deep Interlink + propose RQs + draft L-doc candidates
30+ min Full Formalize with traceability, update session summary

Mode 3: Explicit (signal arg)

When invoked as /aget-record-observation "<signal>":

Classify the input and route to appropriate target:

Signal Type Indicator Keywords Target Location
Vocabulary candidate "term:", "concept:", "definition:", "vocabulary" Session file - Vocabulary Candidates section
Research question "RQ:", "question:", "how does", "why does", "what is" Session file - Research Questions section
Web research finding "source:", "URL:", "according to", "web search" Session file - Web Findings section
L-doc draft "finding:", "lesson:", "L-doc", "learned:" Session file - Findings section
Pattern observation "pattern:", "anti-pattern:", "noticed:", "observed:" Session file - Patterns section
Process gap "gap:", "missing:", "SOP:", "template:" Session file - Process Gaps section
General observation (default) Session file - Observations section

Read the full file on GitHub · 116 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. 9d ago First seen · 116 lines · 42 tokens per session scan A ce2bbe98f535

Subscribe to this mod's changes

aget-record-observation is a skill published in the GitHub repository aget-framework/template-advisor-aget (2 stars, last pushed today), licensed Apache-2.0. It adds 42 tokens to every session and 1,213 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to aget-record-observation, differing in 0 lines, and is treated as a copy.

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