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 kanetran29/uigraph --skill kitgit clone --depth 1 https://github.com/kanetran29/uigraphWrote 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/kanetran29/uigraph/kit)<a href="https://agentmods.dev/skills/kanetran29/uigraph/kit"><img src="https://agentmods.dev/badge/skills/kanetran29/uigraph/kit/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/kanetran29/uigraph/kit"><img src="https://agentmods.dev/badge/skills/kanetran29/uigraph/kit.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00044 | $0.00619 |
| Opus 5.5 | $0.00018 | $0.00248 |
| Sonnet 5.5 | $0.00009 | $0.00124 |
| Haiku 4.5 | $0.00004 | $0.00062 |
Grade A, and why
uigraph 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 2mo 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
uigraph agent kit
uigraph is a self-mapping behavioral graph of a UI: screens (nodes) and the transitions between them (edges), extracted statically from the source, enriched by quarantined LLM proposals, and confirmed by runtime observation. The core is model-free — you (the LLM) are a consumer, not part of the trusted base.
The one law you must not break
Read rules/00-golden-invariant.md. In one line: no edge enters the proven graph without a deterministic static or runtime witness. You never write a proven edge. The observation enters the graph, not your guess.
Vocabulary (6 lines)
- modality —
must(always fires) ·may(conditional/guarded) ·unknown(dynamic target, undecidable statically). See rules/01-modality.md. - source / provenance —
static(extractor) ·manual(human overlay) ·runtime(observed) ·proposal(quarantined lead). See rules/02-provenance.md. - a proposal is a LEAD, not a fact — see rules/03-proposal-is-a-lead.md.
The tools at a glance
Full reference: guides/00-tools.md. Grouped:
- Read — get_graph, get_proposals, get_grounding, get_proposal_graph, describe_screen, get_coverage, next_to_verify, get_loop_status
- Plan — plan_path, gen_spec, list_scenarios, set_scenario
- Mutate — update_graph, propose (Tier-2: submit greedy quarantined hypotheses), report_observation (Tier-3: confirmed requires evidence + reportedBy), reconcile_proposals, withdraw_proposal, mark_unverifiable
- Compare — diff
The job you are usually here to do
Drive proposals + uncertain edges to resolution: the reconciliation loop,
loop/reconciliation-loop.md. Read state with
get_loop_status, verify the worklist, archive what's confirmed, withdraw what's
hallucinated, until loopDone.
Reading the app's runtime state
guides/02-reading-state.md (coverage + worklist) and guides/01-verify-flow.md (Tier-3 + authenticated runs).
What ships with it
14 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.
- gate-skill.md 3.0 KB
- gate.mjs 20 KB runs code
- gate.test.mjs 7.4 KB runs code
- guides/00-tools.md 7.1 KB
- guides/01-verify-flow.md 4.3 KB
- guides/02-reading-state.md 2.6 KB
- guides/03-verification-gate.md 3.0 KB
- loop/reconciliation-loop.md 3.6 KB
- manifest.json 1.9 KB
- rules/00-golden-invariant.md 1023 B
- rules/01-modality.md 971 B
- rules/02-provenance.md 1012 B
- rules/03-proposal-is-a-lead.md 1.3 KB
- rules/04-graph-freshness.md 2.8 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.
- 2mo ago First seen · 44 lines · 44 tokens per session scan A 0e276c79fd11
uigraph is a skill published in the GitHub repository kanetran29/uigraph (5 stars, last pushed 3d ago), licensed MIT. It adds 44 tokens to every session and 619 once invoked, about $0.0002 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 2026-08-31.
uigraph compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| uigraphkanetran29/uigraph | Skill | 5 | 3d ago | MIT | A | 44 | Claude Code, Codex |
| visual-regression-baselinemtarcure/claude-vibe-squad | Skill | 228 | 9d ago | MIT | A | 59 | Claude Code, Codex |
| site-preship-reviewmtarcure/claude-vibe-squad | Skill | 228 | 9d ago | MIT | A | 62 | Claude Code |
| atf-testingserac-labs/serac | Skill | 77 | 18d ago | Apache-2.0 | A | 45 | Claude Code |
| gstack-qaKevin-Liu-01/Agent-Machines | Skill | 29 | 15d ago | MIT | A | 61 | Claude Code, Codex |
| blazemeter-private-locationsBlazemeter/bzm-mcp | Skill | 26 | 11d ago | Apache-2.0 | A | 103 | Claude Code, Codex |
| blazemeter-functional-testingBlazemeter/bzm-mcp | Skill | 26 | 11d ago | Apache-2.0 | A | 124 | Claude Code, Codex |