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/skills/homie-self-map/SKILL.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/skills/thesmokedev/taskchad-os/homie-self-map)<a href="https://agentmods.dev/skills/thesmokedev/taskchad-os/homie-self-map"><img src="https://agentmods.dev/badge/skills/thesmokedev/taskchad-os/homie-self-map/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/thesmokedev/taskchad-os/homie-self-map"><img src="https://agentmods.dev/badge/skills/thesmokedev/taskchad-os/homie-self-map.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 | $0.00060 | $0.01638 |
| Opus 5 | $0.00030 | $0.00819 |
| Sonnet 5 | $0.00012 | $0.00328 |
| Haiku 4.5 | $0.00006 | $0.00164 |
Grade A, and why
homie-self-map 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 12d 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The Homie — Framework Self-Map
A curated architecture map. Read this to understand where things live and how to extend them.
Vertical Slices
1. Chat — Operator Interfaces & Routing
- Directory:
.claude/chat/ - Key files:
router.py(slash commands + NL routing),engine.py(runtime-backed conversations),core_handlers.py(command handlers),extension_manager.py(intent registry),models.py(IncomingMessage) - Entry points:
run_chat.sh(background),main.py(direct) - What it does: Routes Telegram/CLI/web messages through slash commands or the reasoning engine
2. Runtime — Reasoning Execution Boundary
- Directory:
.claude/scripts/runtime/ - Key files:
lane_router.py(lane-first dispatch),bootstrap.py(session start context),profiles.py(provider registry),selection.py(runtime selection),base.py(RuntimeRequest/RuntimeResult) - Entry points:
lane_router.py:run_with_runtime_lanes(),bootstrap.py:build_session_start_context() - What it does: Routes reasoning requests through claude_native or generic_runtime lanes with provider fallback
3. Cognition — Memory & Self-Model
- Directory:
.claude/chat/cognition/ - Key files:
recall.py(tier classification + dual search),operator_beliefs.py(operator model from chat turns),belief_conflicts.py(contradiction engine),cognitive_pass.py(gated inner monologue),proactive_brief.py(session opening brief) - Entry points:
recall.py:run_recall_pipeline(),cognitive_pass.py:run_cognitive_pass() - What it does: Recall, self-model, belief formation, proactive briefing — the "thinking" layer
4. Orchestration — Multi-Agent Task Coordination
- Directory:
.claude/scripts/orchestration/ - Key files:
convoy_service.py(convoy business logic),mailbox_service.py(inter-agent messages),executor.py(dispatch adapters),api.py(FastAPI on port 4322),contract.py(frozen enums + transitions) - Entry points:
run_api.py(uvicorn), CLI viathehomie convoy/thehomie mailbox - What it does: Convoy/mailbox DAG coordination with dependency tracking and executor dispatch
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 110 lines · 60 tokens per session scan A 2639b56cfb84
homie-self-map is a skill published in the GitHub repository TheSmokeDev/taskchad-os (24 stars, last pushed yesterday), licensed MIT. It adds 60 tokens to every session and 1,638 once invoked, about $0.0003 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.
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