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/sjarmak/agent-workflows/entanglenpx skills add sjarmak/agent-workflows --skill entanglegit clone --depth 1 https://github.com/sjarmak/agent-workflowsWhat 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 | $0.00000 | $0.02893 |
| Opus 5 | $0.00000 | $0.01447 |
| Sonnet 5 | $0.00000 | $0.00579 |
| Haiku 4.5 | $0.00000 | $0.00289 |
Grade A, and why
entangle 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 3d 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 — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dependent co-design of coupled subsystems. Spawns one agent PER SUBSYSTEM in isolated worktrees, all sharing a single evolving interface contract file. A coordinator merges contract proposals and broadcasts updates. Agents iterate until the contract stabilizes. Produces N co-designed subsystems plus the negotiated contract.
Arguments
$ARGUMENTS — format: [rounds] subsystem1 subsystem2 [subsystem3...] [path/to/requirements.md] where rounds is optional max iteration count (default: 3, min 2, max 5) and subsystems are named components of the coupled system (min 2, max 5)
Parse Arguments
Extract:
- max_rounds: optional leading integer (default 3, min 2, max 5)
- subsystems: 2-5 named subsystems (e.g.,
api client,schema migration query-layer,frontend backend data-model) - requirements_path: optional trailing path to a requirements doc, PRD, or design brief
Validate:
- At least 2 subsystems are provided
- No more than 5 subsystems
- Subsystem names are distinct
Phase 1: Define the Contract
If a requirements path is provided: read it and extract the interfaces, data flows, and coupling points between the named subsystems.
If no requirements path: ask the user to describe:
- What does each subsystem do?
- How do the subsystems communicate? (API calls, shared database, message queue, function calls, etc.)
- What are the hard constraints? (tech stack, protocols, existing code)
- What is the desired end state?
From this, draft the initial contract file — a structured document that defines the interface between all subsystems. The contract format:
# Interface Contract v0
## Status: DRAFT
## Subsystems
- {subsystem_1}: {one-line purpose}
- {subsystem_2}: {one-line purpose}
...
## Shared Types
{Data types, schemas, or models that cross subsystem boundaries}
## Interfaces
### {subsystem_1} -> {subsystem_2}
- Endpoint/method: ...
- Input: ...
- Output: ...
- Error cases: ...
### {subsystem_2} -> {subsystem_1}
- Endpoint/method: ...
- Input: ...
- Output: ...
- Error cases: ...
{Repeat for every directional interface between subsystems}
## Constraints
- {Protocol, format, auth, versioning, or other cross-cutting rules}
## Open Questions
- {Unresolved interface decisions}
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.
- 3d ago First seen · 309 lines · 0 tokens per session scan A 167dd4115a49
entangle is a skill published in the GitHub repository sjarmak/agent-workflows (9 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,893 tokens. 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
speckit.specify
Skill "speckit.specify" from caipe-io/ai-platform-engineering, covering user input, outline, quick guidelines, section requirements and for ai generation.
speckit.clarify
Skill "speckit.clarify" from caipe-io/ai-platform-engineering, covering user input and outline.
local-integration-testing
Run end-to-end integration tests with all 15 agents and supervisor in local Docker Compose dev environment. Validates agent discovery, multi-agent routing, checkpoint persistence, and cross-agent follow-up conversations.
release-docs
Generate a combined release blog post for ai-platform-engineering. Produces a single docs/releases/YYYY-MM-DD-release-X-Y-Z.md file containing release notes and the upgrade guide (migration guide) inline. Use when cutting a release, when a user asks "what changed in 0.4.x", or when upgrading their values.yaml to a new…
update-docs
Audit and update all documentation moving parts for ai-platform-engineering. Checks release blog posts, features page, agent docs, homepage version strings, Docusaurus version config, and sidebar completeness. Fixes what is stale and reports what needs manual attention. Use after cutting a release, adding a new agent…
docker-compose-first-install
Validate and repair the OSS first-install Docker Compose path. Use when editing docker-compose.yaml, docker-compose.dev.yaml, .env.example, release image tags, Compose profiles, Keycloak/OpenFGA/RAG defaults, or first-launch UI behavior for local all-in-one installs.