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 ivanhoinacki/team-exp-claude-config --skill learngit clone --depth 1 https://github.com/ivanhoinacki/team-exp-claude-configWrote 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/ivanhoinacki/team-exp-claude-config/learn)<a href="https://agentmods.dev/skills/ivanhoinacki/team-exp-claude-config/learn"><img src="https://agentmods.dev/badge/skills/ivanhoinacki/team-exp-claude-config/learn/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/ivanhoinacki/team-exp-claude-config/learn"><img src="https://agentmods.dev/badge/skills/ivanhoinacki/team-exp-claude-config/learn.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 | $0.00069 | $0.03286 |
| Opus 5.5 | $0.00028 | $0.01314 |
| Sonnet 5.5 | $0.00014 | $0.00657 |
| Haiku 4.5 | $0.00007 | $0.00329 |
Grade A, and why
learn 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 2mo 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 — 349 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase 0: Vault RAG (MANDATORY, BEFORE any Read/Grep)
You MUST call query_vault(query, service_filter) BEFORE reading codebase files or external sources. This is enforced by hook. No exceptions.
Capture Learning
Save a development learning (bug, workaround, pattern, config, pitfall, architecture decision, tool behavior) to persistent memory so it's available in future sessions.
Working Directories
- Vault (source of truth):
__VAULT_ROOT__, ALL detailed learnings go here - Memory directory (auto-memory): the path provided by the system prompt's auto memory section (derived from vault path:
$HOME/.claude/projects/-<vault-path-sanitized>/memory/). Contains ONLY two files:MEMORY.md, thin index with pointers to vault filespitfalls.md, one-liner gotchas (exception: stays in memory for fast loading)
- Codebase:
__CODEBASE_ROOT__
CRITICAL RULES:
- NEVER create any file in the memory directory besides
MEMORY.mdandpitfalls.md. Nofeedback_*.md,project_*.md,reference_*.md, or any other.mdfiles - ALL detailed content goes to the vault and is referenced from
MEMORY.md - When writing to
MEMORY.mdorpitfalls.md, use the memory directory path from the auto memory system (shown in system prompt). Do NOT guess or use wildcards
Phase 0: Detect Learnings
If $ARGUMENTS is provided
Use it as the learning description. Skip to Phase 1.
If invoked without arguments (after /debug-mode, /feature-dev, or conversation)
Scan the recent conversation context for learnable moments:
- Bug root causes that were confirmed with evidence
- Unexpected behaviors that took investigation to understand
- Config or env var discoveries (ports, commands, compatibility)
- Workarounds applied for known issues
- Patterns that worked well and should be reused
- Tool/CLI behaviors that surprised or blocked progress
- Architecture decisions with rationale worth preserving
Present candidates:
Learnings detected in this session:
1. [BUG] svc-experiences TypeORM silently ignores WHERE on nullable columns
Impact: HIGH | Service: svc-experiences
2. [CONFIG] BigQuery ADC requires gcloud auth before local dev
Impact: MEDIUM | Service: svc-experiences
3. [PATTERN] Bulk upsert with ON CONFLICT needs explicit column list
Impact: MEDIUM | Service: svc-experiences
Save all? Or pick by number (e.g., 1,3)?
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.
- 2mo ago First seen · 349 lines · 69 tokens per session scan A 069031cdeaa7
learn is a skill published in the GitHub repository ivanhoinacki/team-exp-claude-config (2 stars, last pushed 26d ago), licensed MIT. It adds 69 tokens to every session and 3,286 once invoked, about $0.0003 per session on Opus 5.5. 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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