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/projectsgit 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/projects)<a href="https://agentmods.dev/commands/sifxprime/kodelyth-ecc/projects"><img src="https://agentmods.dev/badge/commands/sifxprime/kodelyth-ecc/projects.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 | $0.00009 | $0.00202 |
| Opus 5 | $0.00005 | $0.00101 |
| Sonnet 5 | $0.00002 | $0.00040 |
| Haiku 4.5 | $0.00001 | $0.00020 |
Grade A, and why
projects scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
3 near-identical copies found in the catalogue:
- projects — 100% identical, 1 lines differ
- projects — 95% identical, 4 lines differ
- ccc-projects — 94% identical, 4 lines differ
What it actually says
Projects Command
List project registry entries and per-project instinct/observation counts for continuous-learning-v2.
Implementation
Run the instinct CLI using the plugin root path:
python3 "${CLAUDE_PLUGIN_ROOT}/skills/continuous-learning-v2/scripts/instinct-cli.py" projects
Or if CLAUDE_PLUGIN_ROOT is not set (manual installation):
python3 ~/.claude/skills/continuous-learning-v2/scripts/instinct-cli.py projects
Usage
/projects
What to Do
- Read
~/.claude/homunculus/projects.json - For each project, display:
- Project name, id, root, remote
- Personal and inherited instinct counts
- Observation event count
- Last seen timestamp
- Also display global instinct totals
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.
- yesterday First seen · 40 lines · 9 tokens per session scan A dc939242028d
projects is a command published in the GitHub repository sifxprime/kodelyth-ecc (11 stars, last pushed 2d ago), licensed MIT. It adds 9 tokens to every session and 202 once invoked, about $0.0000 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-brief
Build a context brief for the current task from prior sessions.
csm-checkpoint
Create or inspect durable checkpoints of expensive-to-reconstruct state.
csm-compaction
Show context pressure and audit compaction behavior.