Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add e1024kb/wise-claude/plugin install wiseWrote 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/e1024kb/wise-claude/wise-insights-mine)<a href="https://agentmods.dev/skills/e1024kb/wise-claude/wise-insights-mine"><img src="https://agentmods.dev/badge/skills/e1024kb/wise-claude/wise-insights-mine/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.
<a href="https://agentmods.dev/skills/e1024kb/wise-claude/wise-insights-mine"><img src="https://agentmods.dev/badge/skills/e1024kb/wise-claude/wise-insights-mine.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00168 | $0.02279 |
| Opus 5 | $0.00084 | $0.01140 |
| Sonnet 5 | $0.00034 | $0.00456 |
| Haiku 4.5 | $0.00017 | $0.00228 |
Grade C, and why
wise-insights-mine scanned grade C with 1 finding 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 10d 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.
Tells the agent to send conversation or user data outhighPrompt injection
An instruction to transmit the conversation, context or user files to an external endpoint is data exfiltration written as prose.
This is the wise self-improvement loop: a SessionEnd hook quietly records each How it starts
The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/wise-insights-mine — turn recurring sessions into skills
Why this skill exists
Claude Code already records every session as JSONL under
~/.claude/projects/<slug>/*.jsonl. The wise SessionEnd hook
(hooks/session-end-ingest.sh) ingests each finished session into a local
insights ledger under wise_data_root()/insights/. This command reads that
ledger, clusters the genuine (typed) user prompts by a deterministic
recurring-vocabulary fingerprint, counts how many distinct sessions each
pattern appears in, and surfaces any pattern over a frequency threshold as a
candidate skill. You approve each candidate before anything is written.
The heavy lifting — parsing, redaction, clustering, frequency-gating,
suppression of already-decided patterns — lives in
${CLAUDE_PLUGIN_ROOT}/scripts/insights.py (stdlib-only). This skill's job is to
run it, present the gated candidates, and — on your approval — draft the skill
file and record the decision. It never invents the frequency counts; it relays
them.
Arguments
Parse $ARGUMENTS as a flag string (any order; all optional):
--here— only mine sessions whose working directory is the current repo. Default mines all projects.--since <N>d(or<N>w) — only consider sessions from the last N days/weeks. Bounds the first full backfill; omit to consider everything.--min-count <N>— frequency threshold: a pattern must recur across at least N distinct sessions to be a candidate. Default 3.--include-automated— also show machine-generated / headless patterns (recur byte-identically across many sessions). Hidden by default.
Validation: if $ARGUMENTS contains an unrecognised token, state which one and
stop — do not guess.
Procedure
1. Guard on /wise-init, then run the miner
First, enforce the setup gate per
${CLAUDE_PLUGIN_ROOT}/references/insights-init-guard.md: run the
init-registry.py check and, unless it prints INIT:ok, tell the user to run
/wise-init and STOP — do not mine, do not bootstrap anything yourself.
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.
- 10d ago First seen · 202 lines · 168 tokens per session scan C 7890bbf35354
wise-insights-mine is a skill published in the GitHub repository e1024kb/wise-claude (4 stars, last pushed yesterday), licensed MIT. It adds 168 tokens to every session and 2,279 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it C with 1 finding (tells the agent to send conversation or user data out). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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