Skip to content
Agentmart
Submit a tool

hermes-lcm

Use, configure, diagnose, and retrieve exact evidence with the Hermes-LCM lossless context plugin.

Skill by supplefrog

IndexedMIT★ 1
Write a review

Chalk Labs

Need help deploying hermes-lcm?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/supplefrog-hermes-lcm

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Use, configure, diagnose, and retrieve exact evidence with the Hermes-LCM lossless context plugin.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 1, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/hermes-lcm

What's inside

Skill name
hermes-lcm
Description
Use, configure, diagnose, and retrieve exact evidence with the Hermes-LCM lossless context plugin.
License
MIT
Instructions
33 lines in SKILL.md · view on GitHub

Files (7)

  • SKILL.md
  • architecture.md · references/
  • configuration.md · references/
  • diagnostics.md · references/
  • recall-policy.md · references/
  • recall-tools.md · references/
  • session-lifecycle.md · references/

SKILL.md (first lines)

# Hermes-LCM

Use this skill when a task concerns Hermes-LCM setup, operation, compaction, diagnostics, session behavior, or recall from compacted and cross-conversation history.

Start here:

1. Confirm that the `hermes-lcm` plugin is enabled and `context.engine` is `lcm`.
2. For exact historical claims, use the recall workflow instead of trusting a compacted summary.
3. Use `lcm_status`, `lcm_inspect`, and `lcm_doctor` before changing configuration or attempting repair.
4. Treat slash-command apply paths as mutations: preview first, keep backups, and require the user's authorization.
5. Load the relevant reference rather than guessing arguments or lifecycle semantics.

Reference map:

- Configuration and activation: `references/configuration.md`
- Architecture and data ownership: `references/architecture.md`
- Diagnostics and safe operator workflow: `references/diagnostics.md`
- Recall tools and routing: `references/recall-tools.md`
- `/new`, session continuity, and `/lcm rotate`: `references/session-lifecycle.md`
- Canonical runtime recall policy: `references/recall-policy.md`

Working rules:

- Raw stored messages are authoritative; summaries are bounded recall cues.
- Prefer newer source-backed evidence when it conflicts with an older summary.
- Start with the narrowest useful scope and expand only when exact detail is needed.
- Do not infer exact commands, paths, timestamps, values, counts, or causal chains from summaries alone.
- Keep current-session, cross-conversation, and Hermes history outside `lcm.db` distinct.
- Do not treat open-cardinality results as complete without product-verifiable enumeration or coverage.
- Use `lcm_compile_evidence` when a historical answer needs several named facets, exact operands, conflict handling, or latest-state selection; treat its semantic proposal as untrusted until the product returns validated evidence.
- Keep default-off assertion, query-view, adaptive-retrieval, and destructive operator paths default-off unless the user explicitly asks to enable them.

From supplefrog/agent-sync, MIT.

More from supplefrog/agent-sync

Signals

Stars
1
Forks
0
Open issues
0
Last commit (this folder)
Oct 1, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from supplefrog

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get hermes-lcm running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying hermes-lcm?

CallGet help
Cite this page

hermes-lcm skill. Agent Mart. https://agentmart.dev/skills/supplefrog-hermes-lcm (last updated 2026-10-24)