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 agentmods add skills/tjmustard/hypergraph-coding-agent-framework/hyper-session-updatenpx skills add tjmustard/Hypergraph-Coding-Agent-Framework --skill hyper-session-updategit clone --depth 1 https://github.com/tjmustard/Hypergraph-Coding-Agent-FrameworkWhat 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 | $0.00047 | $0.00461 |
| Opus 5 | $0.00023 | $0.00230 |
| Sonnet 5 | $0.00009 | $0.00092 |
| Haiku 4.5 | $0.00005 | $0.00046 |
Grade A, and why
session-update 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.
What it actually says
Session Update
This skill closes out a development session by syncing memory files, documentation, and heuristic context with the work completed. It ensures the next agent session starts with accurate context.
When to use this skill
- At the end of every development session, before closing the chat.
- When the user explicitly runs
/hyper-session-update. - After completing a significant feature, fix, or architectural change.
How to use it
-
Review Session Work
- Check task tracking docs (e.g.,
task.md) to identify what was accomplished. - Review git status or recall the file changes made during this session.
- Identify key decisions, architectural changes, or new patterns that emerged.
- Check task tracking docs (e.g.,
-
Update Product & Design Specs
- If requirements changed: Update
spec/compiled/SuperPRD.md. - If design changed: Update
docs/DESIGN.md. - Goal: Keep high-level docs in sync with code reality.
- CRITICAL: Do NOT manually modify
spec/compiled/architecture.yml. Use the deterministic scripts or/hyper-discover//hyper-auditfor that.
- If requirements changed: Update
-
Update Agentic Memory
activeContext.md: Update with current focus, recent changes, and immediate next steps.systemPatterns.md: Add new code patterns, idioms, or architectural structures discovered. Remove replaced ones.productContext.md: Update if there are new product-level decisions or evolved features.- Note: These files act as heuristic context alongside the deterministic Hypergraph.
-
Update Rules (if needed)
- If a correction was repeated or a new rule consistently applied, add it to
.agents/rules/(or create a new rule file for major topics).
- If a correction was repeated or a new rule consistently applied, add it to
-
Commit
- Commit memory and doc updates alongside code changes, or as a separate
chore: update memorycommit.
- Commit memory and doc updates alongside code changes, or as a separate
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 First seen · 40 lines · 47 tokens per session scan A bd83a6fa14cf
session-update is a skill published in the GitHub repository tjmustard/Hypergraph-Coding-Agent-Framework (2 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 461 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 2026-08-31.
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