interstat-analyze
Parse conversation JSONL files and backfill token counts into SQLite
Skill by mistakeknot
Chalk Labs
Need help deploying interstat-analyze?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/mistakeknot-interstat-analyze
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/interstat-analyze
What's inside
- Skill name
interstat-analyze- Description
- Parse conversation JSONL files and backfill token counts into SQLite
- License
- MIT
- Instructions
- 22 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: "interstat-analyze" does not match folder "analyze"
Files (1)
- SKILL.md
SKILL.md (first lines)
# interstat:analyze
Parse Claude Code conversation JSONL files to extract actual token usage data and backfill the interstat metrics database.
## Usage
Invoke when the user wants to:
- Backfill token data from past sessions
- Force-parse active sessions
- Check what data would be parsed (dry-run)
## Behavior
1. Run the JSONL parser:
```bash
cd ${CLAUDE_PLUGIN_ROOT} && uv run scripts/analyze.py
```
2. Present the output to the user showing how many sessions were parsed
3. If errors occur, suggest running with `--force` for active sessions or checking `interstat:status` for details
4. After parsing, suggest running `/interstat:interstat-report` to see updated analysisFrom mistakeknot/interstat, MIT.
More from mistakeknot/interstat
- 0.537score
interstat-cost
mistakeknot
Show API-equivalent cost analysis with model-specific pricing, context-per-turn, and completed-task cost
SkillBFreshness: B★ 1Claude Code +9 - 0.419score
interstat-report
mistakeknot
Show token efficiency analysis and decision gate verdict
SkillDFreshness: D★ 1Claude Code +9 - 0.414score
interstat-status
mistakeknot
Show collection progress and pending parse status
SkillDFreshness: D★ 1Claude Code +9
Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Mar 10, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/mistakeknot/interstat
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from mistakeknot
- 0.537score
interstat-cost
mistakeknot
Show API-equivalent cost analysis with model-specific pricing, context-per-turn, and completed-task cost
SkillBFreshness: B★ 1Claude Code +9 - 0.476score
skill
mistakeknot
Expert guidance for creating Claude Code skills and slash commands — SKILL.md authoring, frontmatter, TDD pressure testing.
SkillCFreshness: CClaude Code +9 - 0.474score
audit
mistakeknot
Audit an existing skill against best practices — checks structure, frontmatter, invocation control, description quality, and anti-patterns.
SkillCFreshness: CClaude Code +9 - 0.419score
interstat-report
mistakeknot
Show token efficiency analysis and decision gate verdict
SkillDFreshness: D★ 1Claude Code +9 - 0.414score
interstat-status
mistakeknot
Show collection progress and pending parse status
SkillDFreshness: D★ 1Claude Code +9 - 0.406score
quality
mistakeknot
Show code quality metrics for this session — syntax errors, auto-format runs.
SkillDFreshness: DClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get interstat-analyze running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
interstat-analyze skill. Agent Mart. https://agentmart.dev/skills/mistakeknot-interstat-analyze (last updated 2026-10-24)