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 bearded-illirian/trailmark --skill flow-firstgit clone --depth 1 https://github.com/bearded-illirian/trailmarkWrote 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/bearded-illirian/trailmark/flow-first)<a href="https://agentmods.dev/skills/bearded-illirian/trailmark/flow-first"><img src="https://agentmods.dev/badge/skills/bearded-illirian/trailmark/flow-first/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/bearded-illirian/trailmark/flow-first"><img src="https://agentmods.dev/badge/skills/bearded-illirian/trailmark/flow-first.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 261 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00102 | $0.02371 |
| Opus 5.5 | $0.00041 | $0.00948 |
| Sonnet 5.5 | $0.00020 | $0.00474 |
| Haiku 4.5 | $0.00010 | $0.00237 |
Grade A, and why
flow-first 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.
How it starts
The opening of the file, as written. The whole thing — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Flow-First Protocol
Input
The block's task description plus 2-3 anchors (file / DB table / route / service / UI component) from the user.
Output
A 4×3 table (Landscape / Problem / Solution / Result across UI / DB / Integrations) saved as flow-first-{N}.{R}.md.
Hands off to
library-first (auto-invoked after user approval).
Introduction
An understanding-alignment protocol before moving to library-first.
Why it's needed: library-first assumes the agent already understands what is being done and at which levels. Without that understanding, library-first is built on guesses — wrong layer searched, wrong LOC estimate, wrong "ready-made" solution. flow-first closes that gap in 5-10 minutes before planning begins.
Key principle: the agent reads only what the user specified — 2-3 anchors (file, table, route, service). No project-wide scanning.
Step 0 — Check task context
Check: are {log_dir} and {slug} known in the current session?
If yes — continue. If no — list latest task folders under {tasks_root}/log/, ask which is current, set {slug} and {log_dir}. Cannot skip — without {log_dir} the artifact won't be saved.
Step 0.5 — Incoming-artifact calibration
flow-first can be invoked inside a per-block cycle or manually. Read earlier artifacts if present:
ls "{log_dir}"/idea-first-*.md 2>/dev/null | head -1
ls "{log_dir}"/habit-first-*.md 2>/dev/null | head -1
ls "{log_dir}"/research-doc.md 2>/dev/null | head -1
idea-first-*.md→ extract task type (product/feature/fix) and scopehabit-first-*.md→ behavioural context for new-product tasksresearch-doc.md→ ready comparison "as is vs should be"
If none found — continue. flow-first works without them.
Step 0.5.0 — UPDATE block status pending → open
Move current block from pending to open:
sqlite3 {routing_db} \
"UPDATE task_blocks SET status='open'
WHERE task_id='{slug}' AND block_num={N} AND status='pending';"
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.
- 1mo ago Changed f6b59cafca94
- 1mo ago First seen · 294 lines · 102 tokens per session scan A 5727508a2fe3
flow-first is a skill published in the GitHub repository bearded-illirian/trailmark (19 stars, last pushed 1mo ago), licensed MIT. It adds 102 tokens to every session and 2,371 once invoked, about $0.0004 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 2026-08-30.
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