Borrowing it
Nothing to install: this file belongs to the-sid-dani/second-brain-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/the-sid-dani/second-brain-os/main/.agents/skills/flow/SKILL.mdgit clone --depth 1 https://github.com/the-sid-dani/second-brain-osWrote 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/the-sid-dani/second-brain-os/flow)<a href="https://agentmods.dev/skills/the-sid-dani/second-brain-os/flow"><img src="https://agentmods.dev/badge/skills/the-sid-dani/second-brain-os/flow/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/the-sid-dani/second-brain-os/flow"><img src="https://agentmods.dev/badge/skills/the-sid-dani/second-brain-os/flow.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 | $0.00153 | $0.02056 |
| Opus 5.5 | $0.00061 | $0.00822 |
| Sonnet 5.5 | $0.00031 | $0.00411 |
| Haiku 4.5 | $0.00015 | $0.00206 |
Grade A, and why
flow 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 7d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Flow
You don't remember every skill, so ask.
A flow is a path through the skills. Most paths run along one main flow, and a few on-ramps merge onto it. Everything else is standalone, or a vocabulary layer that runs underneath.
Every flow skill resolves the project and its paths from docs/agents/project-context.md; specs, tickets and maps live as files in the project folder. Resolve it first; each later skill reuses it, and a /handoff file carries it into the next session.
When invoked, read the situation, name the path in two or three lines (which skills, in what order, and why), and offer to start the first one. Don't run the whole chain unasked.
First: is it small?
If the change fits in this session and nothing about it is unclear (a typo, a one-line config change, a short email, a quick edit to an existing doc), just do it. No spec, no tickets. The flow is for work that needs thinking or spans sessions.
The main flow: idea → done
The route most work travels. You have an idea and want it built, whether it's an app feature, an annual plan, a curriculum, a set of docs or a program launch.
- Sharpen the idea by interview.
/grill-with-docswhen the project should keep its terms and decisions:CONTEXT.mdand ADRs in an app repo,glossary.mdanddecisions/in a knowledge project (an annual plan, a curriculum, a program)./grill-mewhen nothing should be recorded: a decision you're weighing, a draft plan, an idea. Both run the same/grillingprimitive.
- Branch: can you settle every question in conversation? If a question needs something concrete to react to (a UI, a state model, a rough outline, a first draft of one section), detour through
/prototype, bridged by/handoffin both directions:/handoffout, then open a fresh session against that file,/prototypeto answer the question with something throwaway,/handoffback what you learned, and reference it from the original idea thread.
- Branch: is this a multi-session build? Decide after grilling, not before. It's multi-session when building takes more than one sitting, or when other people contribute, review or sign off along the way.
- Yes →
/to-spec(the thread becomesspec.mdin the project), then/to-ticketsto split it into tracer-bullet tickets (tickets/NN-slug.md), each declaring its blocking edges on a**Blocked by:**line. Then build one ticket per session, clearing context between each one. - No → build it right here, in the same context window:
/implementbuilds straight from the conversation, code or knowledge work.
- Yes →
- Build →
/implement, which routes itself:- Code (something that runs): drives
/tddat the agreed seams, commits on the ticket's branch in the app repo, runs/code-reviewon the commit, and closes the ticket with evidence. - Knowledge work (a doc, page, deck, diagram, plan, message): hands the making to the skill that owns the medium, reviews it, and closes the ticket with evidence.
- The whole spec at once: every code ticket on the frontier builds in parallel in its own worktree, merged onto one integration branch, with the written tickets done one at a time alongside. Use it when the tickets are solid and you'd rather review the result than each ticket.
- Reach for
/tddon its own for one behaviour test-first with no spec, and/code-reviewon its own to review a branch against a fixed point.
- Code (something that runs): drives
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.
- 7d ago First seen · 79 lines · 153 tokens per session scan A d86a774284e9
flow is a skill published in the GitHub repository the-sid-dani/second-brain-os (3 stars, last pushed 7d ago), licensed MIT. It adds 153 tokens to every session and 2,056 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-10-17.
Other skills, from other repositories
peer-onboard
A procedure for bringing an outside lead or peer into a shared working setup, including their contact space, records, previous conversations, and ongoing session.
contrib-watch
Watch incoming feedback from outside engineers on your open-source repos: comments, reviews, issues, mentions. Use when you need to find who replied to your pull requests or issues, triage human versus bot responses, and answer within a day with evidence.
retro-lost
Run a retrospective for an abandoned agent session (untouched for over 24 hours, never closed with a retro): rebuild context cold from the transcript, list what was built, sort Keep/Drop/Try and file the durable parts. Use from a nightly routine or on demand. Triggers: /retro-lost, retro for an abandoned session.
issue-match
Measure a target repository's queue and find a live open issue the contribution would close, before opening a pull request there. Reports how many PRs are open, how many of the last N closed ones were actually merged, and which issue to attach to, because a cold PR into a dead queue is a wasted artifact. Triggers…
local-engineer-outreach
An engineer-outreach workflow that manages ongoing conversations with engineering contacts and moves them through planned next steps toward an invitation or call to action.
outbound-gate
Gate for any outbound message before it leaves: pull request or issue comment, DM, invite, post, email. Use before sending to check facts, tone, platform rules, registry status and AI-slop, and to block text that fails.