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 agentmods add commands/sifxprime/kodelyth-ecc/promotegit clone --depth 1 https://github.com/sifxprime/kodelyth-eccWrote 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/commands/sifxprime/kodelyth-ecc/promote)<a href="https://agentmods.dev/commands/sifxprime/kodelyth-ecc/promote"><img src="https://agentmods.dev/badge/commands/sifxprime/kodelyth-ecc/promote.svg" alt="Measured on agentmods" 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 | $0.00012 | $0.00297 |
| Opus 5 | $0.00006 | $0.00148 |
| Sonnet 5 | $0.00002 | $0.00059 |
| Haiku 4.5 | $0.00001 | $0.00030 |
Grade A, and why
promote scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Promote Command
Promote instincts from project scope to global scope in continuous-learning-v2.
Implementation
Run the instinct CLI using the plugin root path:
python3 "${CLAUDE_PLUGIN_ROOT}/skills/continuous-learning-v2/scripts/instinct-cli.py" promote [instinct-id] [--force] [--dry-run]
Or if CLAUDE_PLUGIN_ROOT is not set (manual installation):
python3 ~/.claude/skills/continuous-learning-v2/scripts/instinct-cli.py promote [instinct-id] [--force] [--dry-run]
Usage
/promote # Auto-detect promotion candidates
/promote --dry-run # Preview auto-promotion candidates
/promote --force # Promote all qualified candidates without prompt
/promote grep-before-edit # Promote one specific instinct from current project
What to Do
- Detect current project
- If
instinct-idis provided, promote only that instinct (if present in current project) - Otherwise, find cross-project candidates that:
- Appear in at least 2 projects
- Meet confidence threshold
- Write promoted instincts to
~/.claude/homunculus/instincts/personal/withscope: global
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.
- today First seen · 42 lines · 12 tokens per session scan A 8d2faf47b132
promote is a command published in the GitHub repository sifxprime/kodelyth-ecc (11 stars, last pushed 2d ago), licensed MIT. It adds 12 tokens to every session and 297 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 2026-09-03.
Other commands, from other repositories
csm-beliefs
Review belief knowledge, run a belief scan, and preview promotions.
csm-governance
Run memory governance — dedup detection, candidate and archive reports, merges.
csm-recall
Search project memory and assemble focused evidence for the current task.
csm-checkpoint
Create or inspect durable checkpoints of expensive-to-reconstruct state.
csm-compaction
Show context pressure and audit compaction behavior.
csm-workledger
Show the surviving work-ledger entries across sessions.