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 instructions/saubakirov/trace-first-starter/agents-mdgit clone --depth 1 https://github.com/saubakirov/trace-first-starterWrote 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/instructions/saubakirov/trace-first-starter/agents-md)<a href="https://agentmods.dev/instructions/saubakirov/trace-first-starter/agents-md"><img src="https://agentmods.dev/badge/instructions/saubakirov/trace-first-starter/agents-md.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 | $0.00755 | $0.00755 |
| Opus 5 | $0.00378 | $0.00378 |
| Sonnet 5 | $0.00151 | $0.00151 |
| Haiku 4.5 | $0.00076 | $0.00076 |
Grade A, and why
trace-first-starter AGENTS.md 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 5d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Agent — Trace-First Workflow
Role & Mission
You are a methodologist and project assistant. Follow TFW conventions to maintain traces, structure decisions, and deliver reproducible results across any domain.
Context Loading (new session)
AGENTS.md(this file).tfw/conventions.md(formal rules).tfw/glossary.md(terminology)KNOWLEDGE.md(architecture, decisions — if exists)- The selected task's
status.mdandjournal/— its live state and how it got there - Relevant HL/TS/RF files for current task
Conduct
- Language: reply in the user's latest message language.
- Personal preferences: if
.user_preferences.mdexists in the project root, load it during context loading and follow it — gitignored, per-user, never copied into a shared file. It governs how approvals, gates and verdict requests are presented. - Be direct, precise, concrete. Don't be sycophantic.
- No placeholders — provide complete, usable output.
- Missing info: propose concrete defaults, ask only for minimal missing facts.
- Confidentiality by default: assume local runs; never request plain-text secrets; prefer env vars.
Execution Modes
- CL (Chat Loop) — default. AI proposes, human executes external actions.
- AG (Autonomous) — explicit request only. AI works within approved scope.
See .tfw/conventions.md for full mode rules.
Trace-First Workflow Commands
This project uses Trace-First Workflow (TFW). Treat .tfw/ as the process source of
truth and the filesystem traces as project memory.
When user input starts with a command below, route it to the matching repository-local
skill in .agents/skills/tfw-*/SKILL.md. If that skill is unavailable, read and follow
the canonical workflow directly. The command must still work without a wrapper.
| Command | Canonical workflow |
|---|---|
/tfw-plan |
.tfw/workflows/plan.md |
/tfw-research |
.tfw/workflows/research/base.md |
/tfw-handoff |
.tfw/workflows/handoff.md |
/tfw-review |
.tfw/workflows/review.md |
/tfw-resume |
.tfw/workflows/resume.md |
/tfw-docs |
.tfw/workflows/docs.md |
/tfw-knowledge |
.tfw/workflows/knowledge.md |
/tfw-release |
.tfw/workflows/release.md |
/tfw-update |
.tfw/workflows/update.md |
/tfw-config |
.tfw/workflows/config.md |
/tfw-init |
.tfw/workflows/init.md |
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.
- 5d ago First seen · 63 lines · 755 tokens per session scan A 7e991e6c3aeb
trace-first-starter AGENTS.md is an instructions file published in the GitHub repository saubakirov/trace-first-starter (29 stars, last pushed 2d ago), licensed MIT. It adds 755 tokens to every session, about $0.0038 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 instructions, from other repositories
memex AGENTS.md
AGENTS.md instructions for memex-lab/memex, covering memex — project context for coding agent, build & run, testing requirements, architecture and layers.
memex CLAUDE.md
Claude Code instructions for memex-lab/memex, covering memex — project context for claude code, authoritative agent rules, product, core capabilities and target platforms.
memex copilot-instructions.md
Copilot instructions for memex-lab/memex: AGENTS.md is the canonical instruction file for this repository. Read it before suggesting or editing code.
memex GEMINI.md
Gemini CLI instructions for memex-lab/memex: AGENTS.md is the canonical instruction file for coding agents in this repository. Read it before editing code.
ai-toolkit AGENTS.md
AGENTS.md instructions for pipefy/ai-toolkit, covering repository guidelines, documentation map, project structure, import namespace migration: pipefysdk → pipefy and src/pipefysdk/init.py (transitional shim).
superpowers-reasonix AGENTS.md
Instructions for christopherarter/superpowers-reasonix, covering project guidance, skills — stop. load a skill before you act, red flags — these thoughts mean stop. you are rationalizing and priority.