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 JavanC/Homunculus --skill purpose-treegit clone --depth 1 https://github.com/JavanC/HomunculusWrote 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/javanc/homunculus/purpose-tree)<a href="https://agentmods.dev/skills/javanc/homunculus/purpose-tree"><img src="https://agentmods.dev/badge/skills/javanc/homunculus/purpose-tree/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/javanc/homunculus/purpose-tree"><img src="https://agentmods.dev/badge/skills/javanc/homunculus/purpose-tree.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 | $0.00065 | $0.01064 |
| Opus 5.5 | $0.00026 | $0.00426 |
| Sonnet 5.5 | $0.00013 | $0.00213 |
| Haiku 4.5 | $0.00006 | $0.00106 |
Grade A, and why
purpose-tree 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.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A project's purpose tree records why each part of the project exists. Implementations change often; purposes rarely do. Keeping them apart lets you replace any implementation without losing sight of what it was for.
Where the tree lives
- In the project, never in this skill:
purpose-tree.yamlat the project root. - If it is missing, look for the legacy name
architecture.yaml. Read and update whichever exists; do not rename it unless asked. - Create the file lazily: only when the human states the first (root) purpose.
Purpose, metric, realization
Each node separates three things that change at different speeds:
| Question | Field | Example | Changes |
|---|---|---|---|
| Why | purpose |
"The user never drops a commitment, without having to remember it." | rarely |
| What to achieve | metrics[].healthy |
"0 dropped commitments per week" | sometimes |
| How, right now | realized_by |
"a morning brief at 08:00" | often |
If a purpose names a number or target, move it to metrics. If it names a tool, file, or
schedule, move it to realized_by. Then ask what it is for.
Node format (v3.0)
A purpose is realized by a list of means. A means is either a concrete implementation
(a string) or a sub-purpose (an object with purpose). One list, two kinds — an item
with a purpose field is a sub-purpose; anything else is an implementation.
version: "3.0"
root:
id: root
purpose: Why this exists (one sentence)
status: active | paused | planned # default active; retired nodes are deleted
status_note: Current state, known gaps
paused_reason: Required when paused or planned: why, and how to resume
metrics: # list of block mappings, not {...}
- name: …
source: …
healthy: …
tests: [test file patterns]
health_check: # exit 0 = healthy
command: …
expected: …
realized_by:
- scripts/capture.js # implementation
- id: daily_awareness # sub-purpose: same node format, recursive
purpose: Know what matters before the day starts
realized_by:
- morning brief job
What ships with it
13 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.
- references/schema.md 4.3 KB
- scripts/tree.cjs 6.7 KB runs code
- scripts/validate.cjs 13 KB runs code
- templates/purpose-tree.yaml 393 B
- tests/fixtures/bad-duplicate-id.yaml 111 B
- tests/fixtures/bad-object-without-purpose.yaml 79 B
- tests/fixtures/bad-planned-no-reason.yaml 52 B
- tests/fixtures/bad-sub-no-id.yaml 92 B
- tests/fixtures/bad-weak-check.yaml 111 B
- tests/fixtures/legacy-goals.yaml 163 B
- tests/fixtures/reviewed.yaml 453 B
- tests/fixtures/valid.yaml 579 B
- tests/validate.test.cjs 3.5 KB runs code
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 Changed · +9 lines 6e83872318e6
- 9d ago Changed · +2 lines e12d2b27369f
- 11d ago First seen · 85 lines · 65 tokens per session scan A c238caf43ff7
purpose-tree is a skill published in the GitHub repository JavanC/Homunculus (15 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 1,064 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 2026-10-20.
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