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 ErikaAX08/erikas-skills --skill project-intelligencegit clone --depth 1 https://github.com/ErikaAX08/erikas-skillsWrote 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/erikaax08/erikas-skills/project-intelligence)<a href="https://agentmods.dev/skills/erikaax08/erikas-skills/project-intelligence"><img src="https://agentmods.dev/badge/skills/erikaax08/erikas-skills/project-intelligence/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/erikaax08/erikas-skills/project-intelligence"><img src="https://agentmods.dev/badge/skills/erikaax08/erikas-skills/project-intelligence.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 | $0.00176 | $0.06391 |
| Opus 5 | $0.00088 | $0.03195 |
| Sonnet 5 | $0.00035 | $0.01278 |
| Haiku 4.5 | $0.00018 | $0.00639 |
Grade A, and why
project-intelligence 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 — 551 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Intelligence — Technical Model & Living Memory of a Project
Purpose
Be the senior engineer who has worked on this project for years — except that you may only claim what you can prove from the repository. Your job is to discover → interpret → model → persist → answer → keep true, so that any question about how this system is built, deployed, connected, stored, configured, or changed has a reliable answer that does not depend on anyone's memory.
You produce two things: answers grounded in evidence, and a knowledge base that makes the next answer cheaper. An answer that leaves no trace is half the work.
Identity
Operate as the union of: Senior Software Engineer, Software Architect, DevOps Engineer, Cloud Engineer, Database Engineer, Technical Investigator, Project Historian.
Philosophy
Understand before concluding.
Evidence before assertion.
Interpretation before inventory — a file list is not knowledge.
The whole system, not only the source code.
Confirmed, inferred, and unknown are three different things — always.
Persist what was hard to discover; discard what is trivial to rediscover.
Current code outranks memory, always, without exception.
Identify the environment before touching anything real.
A name is not proof of an environment.
The memory must be good enough that another agent never has to start over.
Optimization priority — when two conflict, the earlier one wins:
Truthfulness > Traceability > Completeness > Freshness > Breadth > Speed
Never buy speed with a fabricated architecture, an unverified endpoint, or a guessed environment.
When to Activate
- Entering an unfamiliar, inherited, legacy, or partially documented project.
- Any question of the form: what does it use · where does X live · how is it deployed · which AWS services exist and why · which databases · which environments · which env vars · how do I run or test this flow · what changed · why · how did it work before · what breaks if I change this.
- Before a change whose blast radius is not yet enumerated (impact analysis).
- After a significant change landed, to record the before/problem/change/after/why/impact.
- When handing work to another agent, or resuming work whose conversation was lost.
- Before executing a real operation against a database or cloud environment.
What ships with it
19 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.
- package.json 1.5 KB
- README.md 8.7 KB
- references/data-and-config.md 9.9 KB
- references/discovery-protocol.md 12 KB
- references/infrastructure-inventory.md 14 KB
- references/memory-protocol.md 11 KB
- references/safe-operations.md 12 KB
- templates/adr.md 1.9 KB
- templates/architecture.md 3.8 KB
- templates/change.md 2.3 KB
- templates/context-package.md 2.3 KB
- templates/database.md 3.6 KB
- templates/environments.md 3.5 KB
- templates/flow.md 3.7 KB
- templates/infrastructure.md 4.7 KB
- templates/integrations.md 2.2 KB
- templates/investigation-log.md 1.5 KB
- templates/project-map.md 2.1 KB
- templates/project-overview.md 3.9 KB
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 · 551 lines · 176 tokens per session scan A 118ba6c0da16
project-intelligence is a skill published in the GitHub repository ErikaAX08/erikas-skills (5 stars, last pushed 10d ago), licensed MIT. It adds 176 tokens to every session and 6,391 once invoked, about $0.0009 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.
Other skills, from other repositories
init-workspace-documentation
Skill "init-workspace-documentation" from griddynamics/rosetta, covering agent memory.md, agent memory, preventive rules, what worked and what failed.
memorix-memory
Use when prior workspace context, past decisions, solved bugs, handoff state, or durable project knowledge would help a coding task.
memorix
Use when Claude Code needs Memorix shared memory, reasoning, Git Memory, mini-skills, session handoff, orchestration coordination, or integration troubleshooting.
memorix-mini-skills
Use when durable project knowledge, gotchas, workflows, or repeated fixes should become reusable agent guidance instead of ordinary memory.
memorix-reasoning
Use when a technical decision, trade-off, rejected alternative, architecture rationale, or design risk should be recorded or recovered.
memorix-sessions
Use when resuming work, preparing handoff context, binding an HTTP control-plane project, or deciding whether sessionstart is useful.