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 robotaitai/project-bedrock --skill project-ontology-bootstrapgit clone --depth 1 https://github.com/robotaitai/project-bedrockWrote 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/robotaitai/project-bedrock/project-ontology-bootstrap)<a href="https://agentmods.dev/skills/robotaitai/project-bedrock/project-ontology-bootstrap"><img src="https://agentmods.dev/badge/skills/robotaitai/project-bedrock/project-ontology-bootstrap/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/robotaitai/project-bedrock/project-ontology-bootstrap"><img src="https://agentmods.dev/badge/skills/robotaitai/project-bedrock/project-ontology-bootstrap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00032 | $0.01236 |
| Opus 5 | $0.00016 | $0.00618 |
| Sonnet 5 | $0.00006 | $0.00247 |
| Haiku 4.5 | $0.00003 | $0.00124 |
Grade A, and why
project-ontology-bootstrap 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Ontology Bootstrap
Creates a minimal knowledge scaffold, then the agent infers the ontology from the real project. Run this once -- then maintain with the writeback rule.
When to use
agent-knowledge/Memory/MEMORY.mddoes not exist or is emptyMemory/MEMORY.mdexists but is still generic bootstrap content- User says "initialize memory", "bootstrap memory", or "set up project memory"
- Starting work on an inherited repo with no prior agent memory
Step 0 -- Verify the local pointer
The project entrypoint is ./agent-knowledge.
./agent-knowledgemust be a symlink or junction to the real dedicated knowledge folder- The external folder is the source of truth
- Manual and scripted bootstrap still write through
./agent-knowledgeas the local handle
If the pointer does not exist yet, create it first with:
scripts/install-project-links.sh --slug <project-slug> --repo /path/to/project
Step 1 -- Run the bootstrap script
scripts/bootstrap-memory-tree.sh /path/to/project
This creates a minimal scaffold:
agent-knowledge/
Memory/
MEMORY.md <- root durable memory note
decisions/
decisions.md <- decision log (same-name convention)
Evidence/
raw/
imports/
Sessions/
Outputs/
Dashboards/
Templates/
.obsidian/
STATUS.md
The script detects a profile hint (web-app, robotics, ml-platform, or hybrid) and stores it in STATUS.md. The hint does NOT create branch notes -- that is the agent's job.
Step 2 -- Inspect the repo and infer the ontology
After the scaffold exists, inspect:
- Manifests and lockfiles
- Directory structure
- Docs (README.md, AGENTS.md, CLAUDE.md, docs/)
- Config files
- Test directories
- Workflow files
- Any evidence already present under Evidence/
From these signals, determine the project's natural decomposition. Use the project's own terminology, not generic template names.
Step 3 -- Create initial branch notes
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 · 174 lines · 32 tokens per session scan A b4db4b3eccad
project-ontology-bootstrap is a skill published in the GitHub repository robotaitai/project-bedrock (45 stars, last pushed 21d ago), licensed MIT. It adds 32 tokens to every session and 1,236 once invoked, about $0.0002 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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