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/gtapps/claude-code-hermit/briefnpx skills add gtapps/claude-code-hermit --skill briefgit clone --depth 1 https://github.com/gtapps/claude-code-hermitWrote 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/gtapps/claude-code-hermit/brief)<a href="https://agentmods.dev/skills/gtapps/claude-code-hermit/brief"><img src="https://agentmods.dev/badge/skills/gtapps/claude-code-hermit/brief.svg" alt="Measured on agentmods" 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 | $0.00062 | $0.02882 |
| Opus 5 | $0.00031 | $0.01441 |
| Sonnet 5 | $0.00012 | $0.00576 |
| Haiku 4.5 | $0.00006 | $0.00288 |
Grade A, and why
brief 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 today.
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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Session Brief
Provide a concise executive summary of recent session activity. Designed for morning check-ins, phone/channel consumption, and quick status updates.
Always-On Delivery Rule
If config.always_on is true, deliver all operator-facing output per CLAUDE-APPEND.md § Operator Notification. The terminal is unmonitored in always-on mode. For the push-fallback branch, condense the brief to a single line (per § Operator Notification push format): include whichever of open proposal count and active heartbeat alerts are present and non-zero; omit zero or unavailable fields. Example: Brief: 16 proposals open, 1 alert — open CC to view. In interactive mode, output to terminal. This applies to all flags below.
Dispatch
Before composing any brief, determine the dispatch mode:
- Read
session_statefrom.claude-code-hermit/state/runtime.json(live state — always in main). - Resolve the active flag (
--morning,--evening, "brief today"/"daily summary", or no flag).
Live files (SHELL.md, alert-state.json, proposals/) are read fresh on this turn; a value held in context from before a compaction is stale.
Dispatch decision:
--morning→ dispatch (mode:morning)--evening→ dispatch (mode:evening)- "brief today" / "daily summary" / "what happened today" → dispatch (mode:
daily) - No flag +
session_stateisin_progress→ no dispatch — summarize the live SHELL.md in main (Plan step 1a) - No flag +
session_stateisidle→ no dispatch — read the live SHELL.md in main and emit the idle block (Plan step 1b) - No flag + no active session (no SHELL.md / no
session_state) → dispatch (mode:default-no-session, Plan step 1c)
For dispatching modes: invoke claude-code-hermit:skill-eval-runner pointed at ${CLAUDE_PLUGIN_ROOT}/skills/brief/reference.md. Pass in the dispatch prompt: mode (one of the values above), today (current ISO date), and for morning only: context_recovery (set to true if auto-memory seems sparse — new instance, fresh machine — false otherwise).
What ships with it
1 file 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.
- today Changed · +3 lines 71eccc1fbcde
- 3d ago First seen · 129 lines · 62 tokens per session scan A 7a828a82a67e
brief is a skill published in the GitHub repository gtapps/claude-code-hermit (73 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 2,882 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…