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.
npx skills add iBrain-BVBA/gutt-claude-code-plugin --skill skills-discoverygit clone --depth 1 https://github.com/iBrain-BVBA/gutt-claude-code-pluginWrote 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/ibrain-bvba/gutt-claude-code-plugin/skills-discovery)<a href="https://agentmods.dev/skills/ibrain-bvba/gutt-claude-code-plugin/skills-discovery"><img src="https://agentmods.dev/badge/skills/ibrain-bvba/gutt-claude-code-plugin/skills-discovery/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/ibrain-bvba/gutt-claude-code-plugin/skills-discovery"><img src="https://agentmods.dev/badge/skills/ibrain-bvba/gutt-claude-code-plugin/skills-discovery.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 | $0.00090 | $0.00685 |
| Opus 5 | $0.00045 | $0.00342 |
| Sonnet 5 | $0.00018 | $0.00137 |
| Haiku 4.5 | $0.00009 | $0.00068 |
Grade A, and why
skills-discovery 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skills Discovery
Announce: "Analyzing workflows for skill gaps..."
Identify opportunities for new skills based on repeated patterns.
When to Use
| Trigger | Action |
|---|---|
| Same correction made 3+ times | Skill to prevent error |
| Complex workflow repeated | Skill to standardize |
| Agent confusion patterns | Skill to clarify |
| New tool/integration | Skill to document usage |
Step 1: Search Memory for Patterns
# Find repeated corrections
fetch_lessons_learned(query="correction mistake error", max_results=20)
# Find behavioral signals
search_memory_nodes(query="correction pattern", entity="BehavioralSignal", max_nodes=10)
# Find decisions that need enforcement
search_memory_facts(query="decision standard process", max_facts=15)
Step 2: Analyze Patterns
Group findings by:
| Category | Indicates |
|---|---|
| Repeated "Negation" lessons | Skill to prevent misunderstanding |
| Repeated "Replacement" lessons | Skill to enforce correct approach |
| Multiple decisions in one area | Skill to consolidate guidance |
| Tool-specific errors | Skill to document tool usage |
Step 3: Propose New Skills
## Proposed Skill: [name]
### Evidence
- Lesson (uuid: xxx): [pattern]
- Lesson (uuid: xxx): [pattern]
### Problem
[What keeps going wrong]
### Solution
Skill that:
- [What it would do]
- [When it would trigger]
- [What it would prevent]
### Estimated Impact
[How much time/errors this would save]
Step 4: Capture Discovery
add_memory(
name="Skill Gap: [area]",
episode_body="Identified need for [skill type] based on [evidence]. Proposed: [brief description].",
source="text"
)
Skill Templates
Error Prevention Skill
name: prevent-[error-type]
description: Prevent [common error] by [mechanism]. Triggers on [patterns].
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 · 113 lines · 90 tokens per session scan A 71ce0e8535df
skills-discovery is a skill published in the GitHub repository iBrain-BVBA/gutt-claude-code-plugin (5 stars, last pushed 6d ago), licensed MIT. It adds 90 tokens to every session and 685 once invoked, about $0.0005 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.
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