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 karstom/simplegraph-agentic --skill antigravitygit clone --depth 1 https://github.com/karstom/simplegraph-agenticWrote 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/karstom/simplegraph-agentic/antigravity)<a href="https://agentmods.dev/skills/karstom/simplegraph-agentic/antigravity"><img src="https://agentmods.dev/badge/skills/karstom/simplegraph-agentic/antigravity/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/karstom/simplegraph-agentic/antigravity"><img src="https://agentmods.dev/badge/skills/karstom/simplegraph-agentic/antigravity.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 | $0.00051 | $0.00640 |
| Opus 5.5 | $0.00020 | $0.00256 |
| Sonnet 5.5 | $0.00010 | $0.00128 |
| Haiku 4.5 | $0.00005 | $0.00064 |
Grade A, and why
simplegraph-memory 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 8d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SimpleGraph Agentic Memory Runbook
This codebase maintains an architectural memory graph in core/. Use this skill when querying, updating, or maintaining memory nodes.
0. Session Start & Task Routing
At session start, review the Quick Index and Task Routing table via simplegraph_index or core/graph_index.md. Load only the detail files relevant to your task — do not load the full graph.
1. Safety Checks Before Code Changes
Before modifying any file, invoke simplegraph_check_files:
{
"files": ["path/to/file.ts"],
"symbols": ["AuthService.refreshToken"]
}
If you know callers or dependents from your code graph or LSP, pass them in related_files / related_symbols.
- Review returned nodes: Pay close attention to any node with
Priority: HIGHorREGRESSED_N_TIMES >= 2. - Check anti-patterns: Call
simplegraph_anti_patterns()before generating new code patterns.
2. Recurrence Root-Cause Gate
When updating a regression where REGRESSED_N_TIMES >= 2, simplegraph_update_node strictly requires a 3-part causal explanation in root_cause:
- Source of Truth: What is the authoritative state source? Why isn't it read directly?
- Violated Invariant: Which rule is broken? (Add an Invariant node first if none exists).
- Why Prior Fixes Were Symptomatic: What did previous patches treat instead of the root cause?
Do not patch symptoms repeatedly. Establish a single source of truth.
3. Recording Knowledge After Changes
Record memory updates in the same commit as your code changes:
- Bug Fix:
simplegraph_add_node({ type: "Regression", ... }) - Architectural Decision:
simplegraph_add_node({ type: "Decision", ... }) - Discovered Invariant:
simplegraph_add_node({ type: "Invariant", ... }) - Danger Zone:
simplegraph_add_node({ type: "Watchlist", ... }) - Resolved Bug:
simplegraph_archive_regression({ id: "REG_BUG_ID", resolution: "..." })
After adding nodes, call simplegraph_update_index to regenerate core/graph_index.md.
What ships with it
5 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.
- 8d ago Changed 32c0bbbd189f
- 1mo ago Changed · +10 lines · -5 tokens per session 6c88bea61297
- 1mo ago First seen · 44 lines · 56 tokens per session scan A ae67de7c30ea
simplegraph-memory is a skill published in the GitHub repository karstom/simplegraph-agentic (5 stars, last pushed 9d ago), licensed MIT. It adds 51 tokens to every session and 640 once invoked, about $0.0002 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 2026-08-31.
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