forge-insights

A command for examining previous coding sessions, error records, changed files, and stored project data to find recurring patterns.

In plain words
What is it for?
Use it to analyze errors and file activity, review git history, and produce recommendations for future practices.
Why use it?
It helps reveal repeated problems and useful lessons that may be missed when reviewing one session at a time.

Command

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 commands/luiseiman/dotforge/forge-insights
Clone the repo
git clone --depth 1 https://github.com/luiseiman/dotforge
Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 56 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00016 $0.00056
Opus 5 $0.00008 $0.00028
Sonnet 5 $0.00003 $0.00011
Haiku 4.5 $0.00002 $0.00006

Measured 2d ago against content hash 043b9a9b397e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

forge-insights 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.

global/commands/forge-insights.md · 7 lines

What it actually says

Run /forge insights. Analyze CLAUDE_ERRORS.md, git history, and registry data to extract patterns. Generate actionable recommendations and feed them into the practices pipeline.

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 · 7 lines · 16 tokens per session scan A 043b9a9b397e

Subscribe to this mod's changes

forge-insights is a command published in the GitHub repository luiseiman/dotforge (8 stars, last pushed 2mo ago), licensed MIT. It adds 16 tokens to every session and 56 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 2026-08-31.

Related

Other commands, from other repositories