session-report

A command for analyzing a distilled clens session and producing a structured performance report. A distilled session is a prepared JSON summary of one session’s activity and decisions.

In plain words
What is it for?
Use it to report on session statistics, backtracks, decisions, file changes, reasoning, timelines, agents, team metrics, communication, plan drift, and estimated cost.
Why use it?
It turns the session summary into one organized report without requiring separate commands to gather its data.

Command

Install

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.

agentmods
npx agentmods add commands/edobreque/clens/session-report
Clone the repo
git clone --depth 1 https://github.com/edobreque/clens
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,180 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00012 $0.01180
Opus 5 $0.00006 $0.00590
Sonnet 5 $0.00002 $0.00236
Haiku 4.5 $0.00001 $0.00118

Measured 2d ago against content hash 642acb0c2d16, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

session-report 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 2d 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.

Origin

This is a copy

100% identical to session-report — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agentic/commands/session-report.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Session Report Command

Generate a structured performance report for a distilled clens session. Reads the distilled JSON directly for a single comprehensive analysis.

Setup

Load the session-analysis skill for schema knowledge and interpretation context before proceeding.

Variables

TARGET: $ARGUMENTS

Workflow

1. Resolve the Session

  • If TARGET is empty or --last, find the most recent distilled session in .clens/distilled/
  • If TARGET is a session ID (full UUID or prefix), find .clens/distilled/{TARGET}*.json
  • If no distilled file is found, inform the user:

    No distilled session found. Run clens distill --last first, then re-run this command.

2. Gather Data

Read the distilled JSON file at .clens/distilled/{sessionId}.json for the complete DistilledSession object. This single file contains all extracted data: stats, backtracks, decisions, file_map, git_diff, edit_chains, reasoning, user_messages, summary, timeline, agents, team_metrics, communication_graph, plan_drift, and cost_estimate.

No CLI commands are needed — the distilled JSON is the primary data source.

3. Build Overview Table

Extract key metrics into a summary table:

Metric Source Field
Duration summary.key_metrics.duration_human
Model stats.model
Tool calls stats.tool_call_count
Failures stats.failure_count (with failure rate as percentage)
Files touched stats.unique_files.length
Files modified summary.key_metrics.files_modified
Estimated cost stats.cost_estimate.estimated_cost_usd
Backtracks backtracks.length
Thinking blocks reasoning.length

4. Calculate Efficiency Score

Compute a weighted score from 1-10:

  • Failure rate (weight 3): 10 if <5%, 7 if 5-15%, 4 if 15-30%, 1 if >30%
  • Backtrack density (weight 3): 10 if 0, 8 if 1-2, 5 if 3-4, 2 if 5+
  • Cost efficiency (weight 2): 10 if cost/file < $0.50, 7 if < $1.00, 4 if < $2.00, 1 if > $2.00
  • Phase coherence (weight 2): 10 if clear progression, 5 if some back-and-forth, 2 if chaotic

Read the full file on GitHub · 139 lines

Changes

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.

  1. 2d ago First seen · 139 lines · 12 tokens per session scan A 642acb0c2d16

Subscribe to this mod's changes

session-report is a command published in the GitHub repository edobreque/clens (2 stars, last pushed 2d ago), licensed MIT. It adds 12 tokens to every session and 1,180 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to session-report, differing in 0 lines, and is treated as a copy.