A workflow for generating a Markdown report about an evolution experiment, including generations, evaluations, objectives, breakthroughs, lessons, and failures.

Use it to report progress across targets, compare the best branches with the baseline, document breakthroughs and synergies, and show the evolution tree.

It gathers results from experiment status, lineage, memory, and Git history so the outcome is easier to review.

report — Skill for Claude Code and Codex by DataLab-atom/EvoAny

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.

Any agent

npx skills add DataLab-atom/EvoAny --skill report

Clone the repo

git clone --depth 1 https://github.com/DataLab-atom/EvoAny

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/datalab-atom/evoany/report/github.svg)](https://agentmods.dev/skills/datalab-atom/evoany/report)

Your own site

<a href="https://agentmods.dev/skills/datalab-atom/evoany/report"><img src="https://agentmods.dev/badge/skills/datalab-atom/evoany/report/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/datalab-atom/evoany/report"><img src="https://agentmods.dev/badge/skills/datalab-atom/evoany/report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 5 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 273 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found 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.

Model	Per session	Once invoked
Fable 5.1	$0.00005	$0.00273
Opus 5.5	$0.00002	$0.00109
Sonnet 5.5	$0.00001	$0.00055
Haiku 4.5	$0.00001	$0.00027

Measured 2mo ago against content hash 3e6f3b6b90f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 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.

plugin/skills/report/SKILL.md · 43 lines

What it actually says

/report — Evolution Report

Call evo_get_status for current state
For each target, call evo_get_lineage on its best branch
Read memory/global/long_term.md for accumulated insights
Read memory/synergy/records.md for cross-function results
exec git -C <repo> log --graph --oneline --all for visual lineage

Generate a Markdown report:

## Evolution Summary
- Generations: {N}
- Total evaluations: {total_evals}
- Seed baseline: {seed_obj}
- Best overall: {best_obj_overall} ({improvement})

## Per-Target Results
| Target | Seed | Best | Improvement | Key Generation |
|--------|------|------|-------------|----------------|
| ...    | ...  | ...  | ...         | ...            |

## Key Breakthroughs
- Gen {N}: {target} — {what changed} ({delta})

## Synergy Results
- {targetA} × {targetB}: {result}

## Lessons Learned
{from long_term memory}

## Failed Approaches
{from failures.md}

## Evolution Tree
{git log graph}

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.

2mo ago First seen · 43 lines · 5 tokens per session scan A 3e6f3b6b90f6

Subscribe to this mod's changes

report is a skill published in the GitHub repository DataLab-atom/EvoAny (37 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 5 tokens to every session and 273 once invoked, about $0.0000 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.

Scientific Writing and docs

report next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
reportDataLab-atom/EvoAny	Skill	37	6mo ago	Apache-2.0	A	5	Claude Code, Codex
instrument-data-to-allotropeanthropics/knowledge-work-plugins	Skill	35k	3d ago	Apache-2.0	A	123	Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	83	Claude Code
matlabK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	44	Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	71	Claude Code, Codex
research-engineerdavila7/claude-code-templates	Skill	33k	yesterday	MIT	A	43	Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmed	Skill	5.8k	yesterday	Apache-2.0	A	205	Claude Code