Borrowing it
Nothing to install: this file belongs to paullukic/coograph. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/paullukic/coograph/main/.github/skills/coograph-new-ticket/SKILL.mdgit clone --depth 1 https://github.com/paullukic/coographWrote 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/paullukic/coograph/coograph-new-ticket)<a href="https://agentmods.dev/skills/paullukic/coograph/coograph-new-ticket"><img src="https://agentmods.dev/badge/skills/paullukic/coograph/coograph-new-ticket/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/paullukic/coograph/coograph-new-ticket"><img src="https://agentmods.dev/badge/skills/paullukic/coograph/coograph-new-ticket.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 | $0.00860 |
| Opus 5.5 | $0.00018 | $0.00344 |
| Sonnet 5.5 | $0.00009 | $0.00172 |
| Haiku 4.5 | $0.00004 | $0.00086 |
Grade A, and why
coograph-new-ticket 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 1mo 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Start work on a new ticket — run pre-flight, investigate, and propose a change.
Step 1: Pre-flight checks
Before doing anything else:
- Code-graph availability — call
get_minimal_contextwith a one-line summary of the ticket. Record whether code-graph is available. If available, use it for ALL navigation in subsequent steps. - Check for in-progress work — list
openspec/changes/(skiparchive/). If an existing OpenSpec overlaps with this ticket, stop and ask: "There's an in-progress change<name>— is this ticket related, or should I start fresh?" - Read conventions — read
AGENTS.md§ Hard rules and.github/copilot-instructions.md(whenAGENTS.mdhas no Hard rules section,.github/copilot-instructions.mdholds them all) if not already loaded.
Step 2: Parse the ticket
Extract from the user's input:
- Title/summary — one-line description
- Requirements — what needs to be built or changed
- Acceptance criteria — if provided
- Linked references — URLs, ticket IDs, file paths mentioned
If the ticket is vague (no specific files, unclear deliverable, touches 3+ areas), note this — it affects Step 3.
Step 3: Investigate the codebase
Use code-graph tools (or fallback chain) to:
- Identify files and modules affected by the ticket
- Read relevant source code to understand current behavior
- Find existing patterns the implementation should follow
- Surface risks, dependencies, and integration points
Scope the investigation to the ticket. Don't audit the entire codebase.
If the ticket is vague or complex (identified in Step 2):
- Run deeper investigation
- Ask the user focused clarifying questions (one at a time, with choices when possible)
- Do NOT proceed to Step 4 until requirements are clear
If the ticket is specific and well-scoped:
- Investigation can be brief
- Proceed directly to Step 4
Step 3b: Models, asked once
Read the models block in openspec/config.yaml. If mode is anything other
than unset, skip this step entirely and never mention it.
What ships with it
1 file 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.
- 1mo ago Changed cc4437ec29c6
- 1mo ago Changed · +18 lines 2342ec9f0d83
- 2mo ago First seen · 67 lines · 44 tokens per session scan A f7c3246237cd
coograph-new-ticket is a skill published in the GitHub repository paullukic/coograph (17 stars, last pushed 12d ago), licensed MIT. It adds 44 tokens to every session and 860 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 2026-08-30.
coograph-new-ticket compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| coograph-new-ticketpaullukic/coograph | Skill | 17 | 12d ago | MIT | A | 44 | Claude Code |
| managing-mcp-serversJetBrains/thinkrail | Skill | 7.8k | yesterday | Apache-2.0 | A | 62 | Claude Code, Codex |
| todosJetBrains/thinkrail | Skill | 7.8k | yesterday | Apache-2.0 | A | 58 | Claude Code, Codex |
| writing-workflow-skillsJetBrains/thinkrail | Skill | 7.8k | yesterday | Apache-2.0 | A | 60 | Claude Code, Codex |
| ai-ml-developmenttravisjneuman/.claude | Skill | 107 | yesterday | MIT | A | 43 | Claude Code, Codex |
| performance-engineeringtravisjneuman/.claude | Skill | 107 | yesterday | MIT | A | 38 | Claude Code, Codex |
| case-interview-practicetravisjneuman/.claude | Skill | 107 | yesterday | MIT | A | 39 | Claude Code, Codex |