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 SurajGThakkar/agent-skills --skill second-braingit clone --depth 1 https://github.com/SurajGThakkar/agent-skillsWrote 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/surajgthakkar/agent-skills/second-brain)<a href="https://agentmods.dev/skills/surajgthakkar/agent-skills/second-brain"><img src="https://agentmods.dev/badge/skills/surajgthakkar/agent-skills/second-brain/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/surajgthakkar/agent-skills/second-brain"><img src="https://agentmods.dev/badge/skills/surajgthakkar/agent-skills/second-brain.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 | $0.00080 | $0.00873 |
| Opus 5 | $0.00040 | $0.00436 |
| Sonnet 5 | $0.00016 | $0.00175 |
| Haiku 4.5 | $0.00008 | $0.00087 |
Grade A, and why
second-brain 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 9d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Second Brain
Bootstrap, maintain, or operate an LLM-managed personal wiki using the LLM Wiki at Scale pattern. The LLM incrementally builds a persistent, interlinked wiki from raw sources — knowledge compiled once, kept current, compounding with every ingest.
Three branches. Read the disclosed file before executing.
Shared Rules
- TaskCreate visible. Use TaskCreate to make stages visible to the user on every branch.
- Scripts propose, LLM disposes. Deterministic scripts hand clean worklists; the LLM exercises judgment. Never blind-apply script output.
- Anti-bleed rule. "Lean" applies ONLY to operational files (AGENTS.md, playbooks, scripts). Content generation — ingestion, entity extraction, concept pages — must be relentless: sprawling, exhaustive, granular. A rich source spawns 10-15 pages. If you produce one summary page, you are committing premature completion and stranding knowledge. The schema is lean so the content can be massive.
- Handoff. Day-to-day ingest and query run through the vault's own AGENTS.md (or CLAUDE.md) playbooks once live — not this skill.
Branch: Setup
When: User wants a new vault, or to continue a partial bootstrap.
Read: references/setup.md
Completion: Every phase (Discovery → Scaffold → Interview → Inject → Build → Orient) completed. Zero {...} placeholders remaining in generated files. User oriented with core commands and a suggested first action.
Branch: Maintain
When: User asks to lint, health-check, rebuild index, rotate logs, calibrate confidence, or normalize tags.
Read: references/maintenance.md
Completion: Lint loop exits with zero criticals. Index rebuilt. Log entry appended. Every worklist item accepted, modified, or declined by the user.
Branch: Operate
When: User wants to build or schedule an autonomous wiki-maintenance Operator.
Read: references/operator.md
Completion: Operator prompt saved with zero {{...}} placeholders. Schedule wired via the schedule skill. User told the cadence and how to manage the trigger.
Scope: Pure wiki upkeep, scheduled and unattended — lint, the three safe fixers, index rebuild, log rotation, source-queue and scratch visibility — run locally against the vault with no external connectors and no MCP. It never resolves judgment calls (broken links, contradictions, tag drift) and never auto-ingests; both stay queued for a supervised session. Optionally researches open questions into raw/scratch/ for later review — never into wiki/, and off by default.
What ships with it
41 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.
- README.md 1.4 KB
- references/AGENTS-template.md 7.5 KB
- references/formats/index-format.md 2.0 KB
- references/formats/log-format.md 1.1 KB
- references/formats/page-format.md 7.4 KB
- references/formats/tag-taxonomy.md 1.9 KB
- references/llm-wiki-at-scale.md 18 KB
- references/maintenance.md 3.9 KB
- references/operator-prompt-template.md 3.7 KB
- references/operator.md 7.7 KB
- references/playbooks/ingest.md 6.1 KB
- references/playbooks/lint.md 5.0 KB
- references/playbooks/migrate.md 4.9 KB
- references/playbooks/query.md 3.1 KB
- references/playbooks/repo-ingest.md 4.1 KB
- references/playbooks/schema-update.md 2.7 KB
- references/playbooks/status.md 3.1 KB
- references/playbooks/suggest.md 4.1 KB
- references/setup.md 9.7 KB
- scripts/build_index.py 6.2 KB runs code
- scripts/calibrate_confidence.py 1.5 KB runs code
- scripts/common.py 5.4 KB runs code
- scripts/fix_sections.py 3.8 KB runs code
- scripts/lint.py 9.8 KB runs code
- scripts/normalize_tags.py 2.0 KB runs code
- scripts/repo-capture.sh 2.2 KB runs code
- scripts/rotate_log.py 2.6 KB runs code
- templates/comparison.md 312 B
- templates/concept.md 392 B
- templates/domain.md 398 B
- templates/entity.md 371 B
- templates/project.md 409 B
- templates/query.md 301 B
- templates/repo-architecture.md 317 B
- templates/repo-components.md 313 B
- templates/repo-dependencies.md 327 B
- templates/repo-overview.md 333 B
- templates/repo-relevance.md 297 B
- templates/source.md 1.3 KB
- templates/synthesis.md 315 B
- templates/wiki-health-dashboard.md 2.3 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.
- 9d ago First seen · 67 lines · 80 tokens per session scan A 42a618bdd172
second-brain is a skill published in the GitHub repository SurajGThakkar/agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 80 tokens to every session and 873 once invoked, about $0.0004 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.
Other skills, from other repositories
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.