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 lubluniky/dale --skill dale-graphgit clone --depth 1 https://github.com/lubluniky/daleWrote 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/lubluniky/dale/dale-graph)<a href="https://agentmods.dev/skills/lubluniky/dale/dale-graph"><img src="https://agentmods.dev/badge/skills/lubluniky/dale/dale-graph/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/lubluniky/dale/dale-graph"><img src="https://agentmods.dev/badge/skills/lubluniky/dale/dale-graph.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.00810 |
| Opus 5 | $0.00023 | $0.00405 |
| Sonnet 5 | $0.00009 | $0.00162 |
| Haiku 4.5 | $0.00005 | $0.00081 |
Grade A, and why
dale-graph 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dale Graph
Derive the graph from the requested outcome, dependencies, and write ownership. Keep the calling agent responsible for integration and delivery. Small or inseparable work stays local; do not manufacture agents to justify the skill.
Choose execution
Delegate a bounded work unit when it can progress independently and saves time or provides a materially independent check. Use collaboration subagents by default, within the live capacity. While they run, do useful complementary work; do not repeat their investigation. Read node-subagents.md before delegating, and model-routing.md only when choosing an explicit model or economy profile. Default to inherited settings.
Use separate Codex tasks only when the user explicitly requests separate tasks, forks, or a durable handoff. Requesting a graph or selecting this skill alone selects subagent execution. Read thread-execution.md only for the explicitly requested task mode. Do not require saved-project registration for local subagent work.
If delegation is unavailable, complete safe sequential work and disclose the lack of independent review. Block only the acceptance criterion that actually requires unavailable independence, authority, or evidence.
Derive and run the graph
- Identify the observable outcome, acceptance criteria, current authority, existing user changes, and direct evidence needed for completion.
- Create work units for independently useful artifacts or proof obligations. Add edges only for an input, decision, or conflicting mutation target.
- Merge tightly coupled units. Assign exclusive write scopes; serialize any overlapping files or shared mutable resources. Subagents share the checkout unless explicit isolation has been established.
- Show a short description of ready work and why it is split. Keep speculative downstream work provisional. This is an update, not an approval checkpoint.
- Dispatch ready units with concrete inputs, deliverables, scope, and evidence. The coordinator also owns useful work. Reuse a worker for focused revisions.
- Re-evaluate as results arrive: unlock dependencies, remove redundant work, and add newly necessary work. Compare each addition with doing it directly.
- Inspect raw evidence, resolve contradictions, integrate accepted artifacts, and verify the final result in the destination checkout or requested system.
What ships with it
5 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.
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 Changed · -163 lines · -55 tokens per session 708bb2be0eb8
- 11d ago First seen · 241 lines · 100 tokens per session scan A 561972d3aabd
dale-graph is a skill published in the GitHub repository lubluniky/dale (51 stars, last pushed 5d ago), licensed MPL-2.0. It adds 45 tokens to every session and 810 once invoked, about $0.0002 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 skills, from other repositories
agent-creation-skill
Procedural guide for creating new agents from templates when project complexity requires delegation.
memory-fabric
Knowledge graph orchestration layer with entity extraction, natural language query parsing, deduplication (>85% similarity), and cross-reference boosting. Unifies search results ranked by recency, relevance, and authority. Use when designing memory retrieval, building entity graphs, or optimizing knowledge graph…
loop-graph
Compile one durable loop-graph run into executor, ledger, directives, ops, and supervisor artifacts under a dated .longgraph directory, then present copy-ready host prompts. Use directly for a custom multi-round shape with gated milestones, independent audit, cross-host execution, or durable state; focused sibling…
longgraph
Route and author durable long-horizon loop-graph runs. Use for multi-round work needing durable state, gated milestones, owner boundaries, host switching, or independent audit. Route code cleanup to /loop-converge, feature requirements to /loop-deliver, and evidence-backed solution comparison to /loop-research; use…
loop-converge
Author and optionally direct-launch a two-node loop-graph run whose North Star is code convergence — delete unused code, merge duplicates, reuse, slim. Use when the user invokes /loop-converge, or asks to loop on dead code, duplication, unused exports, DRY cleanup, or merging twin implementations. Starts the owner…
loop-deliver
Author and optionally direct-launch a two-node loop-graph run for implementing a product or engineering requirement through verified vertical slices. Use when a requested feature, integration, migration, or behavior change needs multiple rounds, durable acceptance proof, and independent audit. Not for code cleanup…