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/mthines/agent-skills/autonomous-workflownpx skills add mthines/agent-skills --skill autonomous-workflowgit clone --depth 1 https://github.com/mthines/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/mthines/agent-skills/autonomous-workflow)<a href="https://agentmods.dev/skills/mthines/agent-skills/autonomous-workflow"><img src="https://agentmods.dev/badge/skills/mthines/agent-skills/autonomous-workflow.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 5.1 | $0.00104 | $0.07218 |
| Opus 5 | $0.00052 | $0.03609 |
| Sonnet 5 | $0.00021 | $0.01444 |
| Haiku 4.5 | $0.00010 | $0.00722 |
Grade A, and why
autonomous-workflow 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 2d 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 — 404 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autonomous Workflow
Phase-based autonomous feature development. Each phase has a gate that must pass before continuing. Phases optionally invoke companion skills based on the task — companions skip silently if not installed.
Source of truth. This
SKILL.mdis a thin index. Detailed procedures live inrules/*.mdand load on demand. Companion-skill triggers and disable instructions live inrules/companion-skills.md.
Self-Improvement
The workflow improves across runs through a two-tier loop (full contract in
rules/self-improvement-loop.md):
Fast tier — episodic lessons (LoreKit memory.* tools, optional companion).
The workflow reads accumulated loop::aw-lessons lessons before planning
(Phase 1) and writes new ones when it gets stuck (Phase 4) or finishes (Phase 7),
mapping universal lessons to LoreKit's global scope and repo-bound lessons to
repo::{owner}/{repo}. Lessons are advisory — they bias the plan, never
silently change a gate. Skips silently when LoreKit's memory.* tools are not
connected.
When invoked through the aw dispatcher, the read/write is hoisted to the
dispatcher (intake + exit) so every tier — Micro, Lite, and Full — both
benefits from and contributes lessons; the phase-level reads/writes are the
Full-tier specialization. This is how self-improvement stays universal without
forcing planning on simple tasks.
Slow tier — retrospective diagnosis. When a run shipped wrong code despite
all gates passing — or a post-merge bug traces back to a missed check, or a
lesson recurs seen_count >= 3 — invoke
/create-skill diagnose autonomous-workflow
while the failing session is still in context. The diagnoser reads this
skill's diagnostic surface (phase model,
failure taxonomy, existing-guards table, hard invariants) — and the aw-lessons
history as evidence — then emits a confidence-gated unified-diff proposal
against this skill's source, applied only at confidence(analysis) ≥ 90 % with
explicit user confirmation.
What ships with it
45 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.
- aw-setup/SKILL.md 20 KB
- aw-setup/templates/auth-bootstrap-credentials.template.mjs 3.9 KB runs code
- aw-setup/templates/auth-bootstrap-headful.template.mjs 3.7 KB runs code
- aw-tester-chrome/SKILL.md 10 KB
- CLAUDE.md 80 KB
- install.sh 9.7 KB runs code
- README.md 26 KB
- references/anthropic-architecture-research.md 29 KB
- references/autonomous-workflow-complete.md 23 KB
- references/cloud-stalling-analysis.md 9.8 KB
- references/error-recovery-scenarios.md 19 KB
- references/iterative-refinement.md 19 KB
- references/planning-quality-research.md 36 KB
- references/self-improvement-walkthrough.md 6.4 KB
- rules/_template.md 1.7 KB
- rules/artifacts-overview.md 11 KB
- rules/companion-skills.md 18 KB
- rules/decision-framework.md 3.4 KB
- rules/diagnostic-surface.md 18 KB
- rules/error-recovery.md 7.7 KB
- rules/overview.md 9.9 KB
- rules/parallel-coordination.md 13 KB
- rules/phase-0-validation.md 14 KB
- rules/phase-1-planning.md 29 KB
- rules/phase-2-worktree.md 12 KB
- rules/phase-3-implementation.md 19 KB
- rules/phase-4-spec-verification.md 15 KB
- rules/phase-4-testing.md 38 KB
- rules/phase-5-documentation.md 9.7 KB
- rules/phase-6-pr-creation.md 17 KB
- rules/phase-7-ci-gate.md 37 KB
- rules/planner-executor-handoff.md 24 KB
- rules/prerequisites.md 7.5 KB
- rules/safety-guardrails.md 12 KB
- rules/self-improvement-loop.md 26 KB
- rules/smart-worktree-detection.md 5.6 KB
- rules/spec-run-contract.md 6.9 KB
- templates/_deprecated-single-agent.md 1.4 KB
- templates/aw-executor.agent.md 16 KB
- templates/aw-planner.agent.md 15 KB
- templates/aw-target.yml.template 4.9 KB
- templates/aw-tester.agent.md 18 KB
- templates/aw.agent.md 18 KB
- templates/routing.rule.md 3.6 KB
- templates/specs.md.template 4.0 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.
- 2d ago Changed · +2 lines 7d4053da06a3
- 5d ago First seen · 402 lines · 104 tokens per session scan A 79066500e1ce
autonomous-workflow is a skill published in the GitHub repository mthines/agent-skills (12 stars, last pushed today), licensed MIT. It adds 104 tokens to every session and 7,218 once invoked, about $0.0005 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
ego-browser
Skill "ego-browser" from citrolabs/ego-lite, covering ego-browser, quick start, common helpers, task spaces and control handoff.
temporal-developer
Develop, debug, and manage Temporal applications across Python, TypeScript, Go, Java, .NET, Ruby, and Rust. Use when the user is building workflows, activities, or workers with a Temporal SDK, debugging issues like non-determinism errors, stuck workflows, or activity retries, using Temporal CLI, Temporal Server, or…
x-algorithm
Write X (Twitter) posts that the For You algorithm actually rewards. Grounded in the open-sourced X recommendation system — the Grok-based transformer ranker, Phoenix retrieval, Thunder in-network store, and Grox content-understanding pipeline. Use when the user wants to write a post, thread, reply, or quote; plan a…
opencode-memory
Browse local OpenCode history: sessions, messages, plans, prompt history, and prior decisions. Use when the user says history, previous session, last time, remember, recall, plans, prior work, or when resuming/debugging repeated work where earlier OpenCode context may help. Do not use for fresh tasks or when current…
creating-explainers
Use when creating an interactive explainer - a single self-contained HTML page with hand-built Canvas figures. Handles source-file explainers, topic-driven research explainers, and mixed intake where files provide the spine and research adds support. Trigger phrases include "make an explainer", "turn this paper into…
custom-icons
Create or refine custom icon assets as native or traced SVGs and transparent PNG/WebP files. Use when the user asks for a bespoke icon or cohesive icon set, wants an image traced into a clean vector, or needs a detailed or 3D icon with transparency.