Borrowing it
Nothing to install: this file belongs to TheSmokeDev/taskchad-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TheSmokeDev/taskchad-os/master/.claude/commands/core_piv_loop/prime-signal.mdgit clone --depth 1 https://github.com/TheSmokeDev/taskchad-osWrote 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/thesmokedev/taskchad-os/prime-signal)<a href="https://agentmods.dev/commands/thesmokedev/taskchad-os/prime-signal"><img src="https://agentmods.dev/badge/commands/thesmokedev/taskchad-os/prime-signal/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/commands/thesmokedev/taskchad-os/prime-signal"><img src="https://agentmods.dev/badge/commands/thesmokedev/taskchad-os/prime-signal.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 | $0.00025 | $0.00829 |
| Opus 5 | $0.00013 | $0.00415 |
| Sonnet 5 | $0.00005 | $0.00166 |
| Haiku 4.5 | $0.00003 | $0.00083 |
Grade A, and why
prime-signal 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 10d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prime: Signal / Cognition Slice
Objective
Build understanding of The Homie's cognitive system — how it recalls, thinks before speaking, forms beliefs about the operator, detects contradictions, and evolves its own identity files through evidence-gated amendments. This is the "Make The Self Real" program: Living Mind (sense/remember/brief) + Living Self (form/hold/earn beliefs).
Key Files to Read
Read these files in order. The cognition modules live in .claude/chat/cognition/; the evolution engine lives in .claude/scripts/evolve/.
Architecture doc (read first — Living Self section)
@.claude/sections/03_memory_pipelines.md
Core recall pipeline
@.claude/chat/recall_service.py @.claude/chat/cognition/recall.py
Region assembly (how context reaches the prompt)
@.claude/chat/cognition/regions.py @.claude/chat/cognition/identity_payload.py
Cognitive pass (think before speaking)
@.claude/chat/cognition/cognitive_pass.py @.claude/chat/cognition/processes.py @.claude/chat/cognition/proactive_actions.py
Operator modeling (Act 1 — model the operator from verbatim turns)
@.claude/chat/cognition/operator_beliefs.py @.claude/chat/cognition/self_model.py @.claude/chat/cognition/capture.py
Contradiction engine (Act 2)
@.claude/chat/cognition/belief_conflicts.py
Evidence gate + amendments (Act 4)
@.claude/chat/cognition/evidence_gate.py @.claude/chat/cognition/amendments.py
Self-evolution loop (Archon-driven)
@.claude/scripts/evolve/evolve_loop.py @.claude/scripts/evolve/judge.py @.claude/scripts/evolve/belief_regression.py
Session opening brief (Living Mind Act 4)
@.claude/chat/cognition/proactive_brief.py
Architecture Manual
@docs/the-living-self-manual.md
Slice Boundaries
- Owns: recall pipeline (tier classification, dual search, graph traversal), region assembly, cognitive pass, operator belief extraction, contradiction detection, evidence-gated amendments, belief evolution loop, session opening brief
- Does NOT own: memory persistence pipelines (
.claude/scripts/memory_*.py— see/prime-memory), chat routing (.claude/chat/router.py), runtime provider selection - Cross-slice touchpoints:
engine.pycalls cognition modules for region assembly, recall, and cognitive pass; memory pipelines call recall for search; evolve loop reads/writes SOUL.md and SELF.md
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.
- 10d ago First seen · 86 lines · 25 tokens per session scan A 7b185788f767
prime-signal is a command published in the GitHub repository TheSmokeDev/taskchad-os (23 stars, last pushed 3d ago), licensed MIT. It adds 25 tokens to every session and 829 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 2026-08-30.
Other commands, from other repositories
patterns
Scan recent sessions for recurring patterns and turn them into captures (rules, concept notes, writing seeds).
tree-ring-recall
Recall durable Tree Ring Memory context before starting or resuming work.
tree-ring-update
Check for or install a verified Tree Ring Memory CLI update without changing installation scope.
tree-ring-status
Check receipt-backed Tree Ring harness readiness without claiming configuration is activation.
perf-difficult-conversation
Three-conversations framework rehearsal (Stone/Patton/Heen — Harvard Negotiation Project) for high-stakes conversations — termination, demotion, hard feedback, conflict surfacing. Produces three-conversations breakdown (what-happened / feelings / identity), conversation script with multiple opening choices, SCARF…
design-regimen
Design an integrated weekly regimen — training, nutrition, sleep, stress, recovery — matched to the person's actual life. Composes with gym-training-expert and health-nutrition-expert for domain detail. Produces a sustainable architecture, not an extreme program. Not medical advice.