Borrowing it
Nothing to install: this file belongs to nyktora/noctrace. 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/nyktora/noctrace/main/.claude/skills/jsonl-parser/SKILL.mdgit clone --depth 1 https://github.com/nyktora/noctraceWrote 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/nyktora/noctrace/jsonl-parser)<a href="https://agentmods.dev/skills/nyktora/noctrace/jsonl-parser"><img src="https://agentmods.dev/badge/skills/nyktora/noctrace/jsonl-parser/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/nyktora/noctrace/jsonl-parser"><img src="https://agentmods.dev/badge/skills/nyktora/noctrace/jsonl-parser.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 | $0.00032 | $0.01102 |
| Opus 5.5 | $0.00013 | $0.00441 |
| Sonnet 5.5 | $0.00006 | $0.00220 |
| Haiku 4.5 | $0.00003 | $0.00110 |
Grade A, and why
jsonl-parser 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Code JSONL Parser Specification
File Location
Session logs are at ~/.claude/projects/{encoded-path}/*.jsonl where path encoding replaces / with - (e.g., /Users/jane/project becomes -Users-jane-project).
Additionally, ~/.claude/projects/{encoded-path}/sessions-index.json contains session metadata (summaries, message counts, timestamps).
Record Format
Each line is a JSON object with these common fields:
interface BaseRecord {
type: "user" | "assistant" | "system" | "result";
sessionId: string;
timestamp: string; // ISO-8601
uuid: string;
parentUuid: string | null;
version?: string;
cwd?: string;
gitBranch?: string;
}
Assistant Records
Contain Claude's responses with text and tool_use blocks:
interface AssistantRecord extends BaseRecord {
type: "assistant";
message: {
role: "assistant";
content: ContentBlock[];
usage?: {
input_tokens: number;
output_tokens: number;
cache_creation_input_tokens?: number;
cache_read_input_tokens?: number;
};
};
}
type ContentBlock =
| { type: "text"; text: string }
| { type: "tool_use"; id: string; name: string; input: Record<string, any> }
| { type: "thinking"; thinking: string };
User Records
Contain user messages or tool results (when isMeta: true):
interface UserRecord extends BaseRecord {
type: "user";
message: {
role: "user";
content: string | ToolResultBlock[];
};
isMeta?: boolean; // true = internal tool result, false = real user message
isCompactSummary?: boolean;
}
interface ToolResultBlock {
type: "tool_result";
tool_use_id: string; // links back to tool_use block's id
content: string | ContentPart[];
is_error?: boolean;
}
System Records
Session lifecycle events:
interface SystemRecord extends BaseRecord {
type: "system";
subtype?: "init" | "compact_boundary";
compactMetadata?: {
trigger: "auto" | "manual";
preTokens: number;
};
}
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 · 140 lines · 32 tokens per session scan A 0219bc5154f3
jsonl-parser is a skill published in the GitHub repository nyktora/noctrace (5 stars, last pushed 6mo ago), licensed MIT. It adds 32 tokens to every session and 1,102 once invoked, about $0.0001 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.
jsonl-parser compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| jsonl-parsernyktora/noctrace | Skill | 5 | 6mo ago | MIT | A | 32 | Claude Code |
| observability-phoenixdavila7/claude-code-templates | Skill | 33k | today | MIT | A | 47 | Claude Code, Codex |
| agent-inspectrajudandigam/agent-inspect | Skill | 171 | 2d ago | MIT | A | 52 | Claude Code, Codex |
| vigil-alerttonone-ai/tonone | Skill | 77 | 23d ago | MIT | A | 55 | Claude Code |
| vigil-instrumenttonone-ai/tonone | Skill | 77 | 23d ago | MIT | A | 61 | Claude Code |
| sre-expertpersonamanagmentlayer/pcl | Skill | 44 | 12d ago | Apache-2.0 | A | 63 | Claude Code |
| vigil-incidenttonone-ai/tonone | Skill | 77 | 23d ago | MIT | A | 48 | Claude Code |