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 AtlasOmnia/hermes-custom-pack --skill hermes-context-optimizationgit clone --depth 1 https://github.com/AtlasOmnia/hermes-custom-packWrote 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/atlasomnia/hermes-custom-pack/hermes-context-optimization)<a href="https://agentmods.dev/skills/atlasomnia/hermes-custom-pack/hermes-context-optimization"><img src="https://agentmods.dev/badge/skills/atlasomnia/hermes-custom-pack/hermes-context-optimization/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/atlasomnia/hermes-custom-pack/hermes-context-optimization"><img src="https://agentmods.dev/badge/skills/atlasomnia/hermes-custom-pack/hermes-context-optimization.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 | $0.00035 | $0.07307 |
| Opus 5.5 | $0.00014 | $0.02923 |
| Sonnet 5.5 | $0.00007 | $0.01461 |
| Haiku 4.5 | $0.00003 | $0.00731 |
Grade A, and why
hermes-context-optimization 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 1mo 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.
This is a copy
100% identical to hermes-context-optimization — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 438 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hermes Context Optimization
Use this when the user asks about Hermes prompt/context size, “hello” startup cost, compression behavior, memory/profile bloat, tool-schema overhead, skill loading, session-store/search-index storage, or multimodal/visual-context approaches such as Snapcompact.
For large state.db search-index maintenance, resumable optimize-storage --no-vacuum runs, foreground timeout handling, and post-run verification, follow references/session-store-optimization.md.
When bounded workers repeatedly fail with session_persistence_failed because a live profile DB is lock-contended, preserve the worktree handoff and use the non-disruptive isolated-HERMES_HOME workflow in references/isolated-worker-state-store.md. Diagnose the profile-specific DB and lock owners first; never terminate a user's live TUI or optimize its store merely to unblock a coding worker.
Operating style for the user
- Be concise first. If he asks for the savings, give the numbers, not a lecture.
- Separate hard blockers from engineering choices.
- Prefer token/accounting estimates grounded in actual provider/runtime data when available; use ratios only when clearly labeled.
- Do not imply that all startup prompt text is interchangeable. Bucket it by runtime role.
Long standing-goal payloads
When a long /goal prompt is displayed as a compact token such as [[ … [77 lines] … ]], treat that representation as potentially lossy rendered text, not as the authoritative goal body. Hermes' goal state stores the string it receives and does not dereference wiki-style links or recover omitted lines. Before allowing a goal worker to edit anything, require it to read the complete authoritative specification from a file and verify that the first turn contains the expected task scope. Use a short file-backed goal such as: Read and execute the complete goal specification at /absolute/path/goal.md; treat that file as authoritative; do not act on truncated display text. If the worker loads Obsidian or searches for a note matching the compact label, pause/clear the goal: it received the display placeholder, not the task. Do not accept a “goal achieved” result caused only by missing input; require artifact or test evidence.
What ships with it
13 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.
- references/compression-runtime-fallback-notes.md 1.9 KB
- references/context-overflow-recovery.md 3.4 KB
- references/gateway-voice-latency-attribution.md 2.8 KB
- references/goal-long-prompt-preservation.md 2.0 KB
- references/isolated-worker-state-store.md 4.2 KB
- references/jinja-chat-template-audit.md 2.4 KB
- references/native-context-inspection.md 2.4 KB
- references/profile-data-accuracy.md 1.7 KB
- references/prompt-composition-baseline.md 1.3 KB
- references/session-store-optimization.md 2.3 KB
- references/skill-pruning-workflow.md 1.6 KB
- references/snapcompact-hermes-boot-analysis.md 2.7 KB
- references/tool-router-architecture.md 3.6 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.
- 1mo ago First seen · 438 lines · 35 tokens per session scan A 19b5531fa0d0
hermes-context-optimization is a skill published in the GitHub repository AtlasOmnia/hermes-custom-pack (73 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 7,307 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to hermes-context-optimization, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
hermes-context-optimization
Use this when the user asks about Hermes prompt/context size, “hello” startup cost, compression behavior, memory/profile bloat, tool-schema overhead, skill loading, session-store/search-index storage, or multimodal/visual-context approaches such as Snapcompact.
hermes-mnemosyne
Mnemosyne is Hermes' primary local-first memory engine — SQLite with vector + FTS5 hybrid search, 19+ tools, auto-consolidation, and a standalone CLI. It's a pip-installed plugin (not a built-in toolset) discovered via $HERMESHOME/plugins/mnemosyne/.
hermes-session-maintenance
Use this skill when the user asks about pruning Hermes sessions, session retention, session DB size, hermes sessions prune, sessions.autoprune, sessions.retentiondays, session export/backup, or whether old conversations should be capped.
mnemosyne-maintenance
Use when: upgrading Mnemosyne, diagnosing slow/hung consolidation (mnemosynesleep), fixing missing embeddings, or troubleshooting import/version mismatches.
personal-api
Turn an Obsidian vault into an AI-readable personal identity layer. Use when setting up ME.md and AGENT.md, scaffolding the full Knowledge Palace v2 structure, onboarding AI assistants, or maintaining the vault contract. Default setup creates the complete 30.knowledge system; --minimal creates only the lightweight…
openclaw-test-heap-leaks
Investigate pnpm test memory growth, Vitest worker OOMs, and suspicious RSS increases in OpenClaw using the scripts/test-parallel.mjs heap snapshot tooling. Use when Codex needs to reproduce test-lane memory growth, collect repeated .heapsnapshot files, compare snapshots from the same worker PID, distinguish…