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 softspark/ai-toolkit --skill instinct-reviewgit clone --depth 1 https://github.com/softspark/ai-toolkitWrote 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/softspark/ai-toolkit/instinct-review)<a href="https://agentmods.dev/skills/softspark/ai-toolkit/instinct-review"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/instinct-review/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/softspark/ai-toolkit/instinct-review"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/instinct-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.01165 |
| Opus 5 | $0.00018 | $0.00583 |
| Sonnet 5 | $0.00007 | $0.00233 |
| Haiku 4.5 | $0.00004 | $0.00117 |
Grade A, and why
instinct-review 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/instinct-review - Manage Learned Instincts
$ARGUMENTS
What This Does
Manages the instinct system: project-local behavioral notes that Claude loads at the start of a session.
Instincts are markdown files in .claude/instincts/, loaded at session start by session-start.sh whenever any exist (set AI_TOOLKIT_HOOK_QUIET=1 to suppress).
Commands
List all instincts
/instinct-review --list
Shows all instincts with confidence scores and source sessions.
Review and curate
/instinct-review
Interactive review: shows each instinct and asks promote/remove/keep.
Promote instinct (always apply)
/instinct-review --promote <filename>
Remove instinct
/instinct-review --remove <filename>
Clear all instincts
/instinct-review --clear
How Instincts Work
- Authoring: Instinct files are written by hand — one markdown file per pattern in
.claude/instincts/. There is no automatic session-end extractor today (see When NOT to Use). - Storage:
.claude/instincts/<pattern-name>.md, each carrying a confidence score (see format below). - Loading: At session start,
session-start.shloads every instinct file into context whenever any exist. No instincts on disk means nothing is loaded; setAI_TOOLKIT_HOOK_QUIET=1to suppress. - Curation: Use
/instinct-reviewto list, promote, remove, or clear them.
Instinct Format
# Pattern: [pattern name]
Confidence: 0.85
Sessions: 3
Last seen: 2026-03-25
[Description of the pattern or preference]
Steps
- Run
ls .claude/instincts/ 2>/dev/null || echo "No instincts yet" - For each instinct file, read it and display confidence/summary
- Based on
$ARGUMENTS:--list: display table of all instincts--promote <id>: set confidence to 1.0, add "pinned" tag--remove <id>: delete the file--clear: delete all files in.claude/instincts/- no args: interactive review of each instinct
- Report summary of changes made
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 · 102 lines · 36 tokens per session scan A affc8d3276f7
instinct-review is a skill published in the GitHub repository softspark/ai-toolkit (172 stars, last pushed yesterday), licensed Apache-2.0. It adds 36 tokens to every session and 1,165 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
conflict-resolver
Résolution de conflits entre agents ou sous-agents quand les résultats sont contradictoires, avec workflow de détection, arbitrage, merge et feedback loop. Se déclenche avec "conflit agent", "agent conflict", "résultats contradictoires", "agent disagreement", "contradiction agents", "arbitrage agent", "résoudre…
email-agent-builder
Construction d'agents de gestion d'emails incluant tri, réponse automatique, extraction et classification. Se déclenche avec "email agent", "agent email", "tri automatique", "réponse automatique email", "classification email. Also triggers on "auto reply agent", "inbox triage agent".
langgraph-designer
Conception de graphes d'agents avec LangGraph pour workflows complexes et stateful. Gestion d'état partagé, edges conditionnels, persistance et human-in-the-loop. Se déclenche avec "LangGraph", "graph agent", "state machine agent", "agent graph", "conditional edges", "checkpointer", "agent workflow stateful"…
pipeline-composer
Composition de pipelines de sous-agents où la sortie d'un agent alimente l'entrée du suivant. Se déclenche avec "pipeline agent", "chaîne d'agents", "agent chain", "agent pipeline", "sequential agents", "workflow agents", "ETL agent", "agent DAG", "composer agents". Also triggers on "chain agents", "output of one…
human-in-the-loop-designer
Design de systèmes human-in-the-loop pour agents IA avec approbation, correction et escalade. Se déclenche avec "human in the loop", "HITL", "approbation humaine", "validation humaine", "escalade agent", "agent supervisé", "intervention humaine", "approval workflow". Also triggers on "approval step for agent", "human…
workflow-automation-agent
Construction d'agents d'automatisation de workflows métier incluant RPA intelligent, déclencheurs et actions chaînées, orchestration d'étapes avec gestion d'erreurs et monitoring. Se déclenche avec "workflow agent", "RPA", "automatisation métier", "agent d'automatisation", "process automation. Also triggers on…