interstat-report
Show token efficiency analysis and decision gate verdict
Skill by mistakeknot
Chalk Labs
Need help deploying interstat-report?
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-report
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
Use cases: documents
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-report
What's inside
- Skill name
interstat-report- Description
- Show token efficiency analysis and decision gate verdict
- License
- MIT
- Instructions
- 24 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: "interstat-report" does not match folder "report"
Files (1)
- SKILL.md
SKILL.md (first lines)
# interstat:report
Run the token efficiency report showing subagent type breakdown, top consumers, percentile analysis, and decision gate verdict.
## Usage
Invoke when the user wants to see token consumption analysis or check the decision gate.
Arguments:
- Optional: number of days to include (default: 7). Use `0` for all-time.
## Behavior
1. Parse the days argument (default 7, use 0 for all-time):
```bash
DAYS="${args:-7}"
if [ "$DAYS" = "0" ]; then DAYS=9999; fi
```
2. Run `bash ${CLAUDE_PLUGIN_ROOT}/scripts/report.sh $DAYS`
3. Present the output to the user
4. If verdict is INSUFFICIENT DATA, suggest running `/interstat:interstat-analyze` first
5. If subagent type breakdown shows only hash IDs (no readable names like "Explore", "Plan", etc.), note that the plugin needs to be installed to capture agent types going forwardFrom 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 - 0.422score
interstat-analyze
mistakeknot
Parse conversation JSONL files and backfill token counts into SQLite
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 - 0.422score
interstat-analyze
mistakeknot
Parse conversation JSONL files and backfill token counts into SQLite
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-report 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-report skill. Agent Mart. https://agentmart.dev/skills/mistakeknot-interstat-report (last updated 2026-10-24)