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 CurtisThe/three-pillars-plugin --skill tp-spike-plangit clone --depth 1 https://github.com/CurtisThe/three-pillars-pluginWrote 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/curtisthe/three-pillars-plugin/tp-spike-plan)<a href="https://agentmods.dev/skills/curtisthe/three-pillars-plugin/tp-spike-plan"><img src="https://agentmods.dev/badge/skills/curtisthe/three-pillars-plugin/tp-spike-plan.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 5.1 | $0.00027 | $0.01128 |
| Opus 5 | $0.00014 | $0.00564 |
| Sonnet 5 | $0.00005 | $0.00226 |
| Haiku 4.5 | $0.00003 | $0.00113 |
Grade A, and why
tp-spike-plan 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 7d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spike Experiment Plan
Turn a spike design into a structured experiment plan with hypothesis-driven tasks.
Arguments:
{spike-name}(required) — must match an existing directory underthree-pillars-docs/tp-designs/.--auto(optional) — autonomous mode. Skips user confirmation, self-reviews plan, logs decisions todecisions.md. Seeskills/_shared/auto-mode.mdfor convention.
Prerequisites
three-pillars-docs/tp-designs/{spike-name}/design.mdmust exist and be spike-flavored (exploratory, not implementation). If not, tell the user to create one first and stop.
Steps
-
Run first-run preflight per skills/_shared/first-run.md.
-
Run collaboration preflight per
skills/_shared/collaboration.mdwithphase: "spike-plan". This verifies the branch and refreshes the lock for this spike. Honor--force-takeoverif passed. In--automode, do not prompt — if the lock is held by another developer, log the conflict todecisions.mdand stop. -
Read
design.mdfrom the design directory. -
Identify the experiments described in the design. Group them into phases — each phase explores one facet of the spike.
-
Break each phase into 2-5 tasks. Each task is a single experiment:
- Hypothesis-driven — states what you expect before trying
- Has a clear evaluation method — how to judge the result
- Produces a Deliverable at the phase level for user review
-
Write
three-pillars-docs/tp-designs/{spike-name}/plan.mdusing this exact format:
# <Spike Name> — Experiment Plan
## Phase 1: {description}
**Deliverable**: What the user reviews at phase end
### Task 1.1: {description}
**Hypothesis**: What we expect to happen
**Try**: What to implement/run
**Evaluate**: How to judge the result (visual check, metric, test)
**Status**: Pending
### Task 1.2: ...
## Phase 2: {description}
**Deliverable**: ...
- Confirm the plan:
- Normal mode: Walk through it with the user. Adjust if they want to reorder, add, or drop tasks.
--automode: Self-review the plan against design.md — verify every experiment in the design maps to at least one task, success criteria are testable, and phases are logically ordered. Log a decision entry todecisions.mdsummarizing plan structure choices (how experiments were grouped into phases, any design experiments that were split or combined, and why). Auto-approve and continue.
- Commit the artifact per
skills/_shared/commit-after-work.md. Artifact paths to stage:three-pillars-docs/tp-designs/{spike-name}/plan.mdthree-pillars-docs/tp-designs/{spike-name}/lock.json(if refreshed) Commit message:Spike: {spike-name} plan.
- Tell the user (or log, in auto mode) the next step is to begin executing the experiment phases.
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.
- 7d ago First seen · 70 lines · 27 tokens per session scan A 0d59935ed4b6
tp-spike-plan is a skill published in the GitHub repository CurtisThe/three-pillars-plugin (4 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 27 tokens to every session and 1,128 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 2026-08-31.
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