extract-artifact-candidates

extract-artifact-candidates is a skill for Claude Code, Codex from siarhei-belavus/agent-public. It costs 67 tokens per session (1,250 once invoked), scanned A, original, MIT.

A manual recovery step that searches the current conversation for useful decisions, constraints, and other information worth saving in project notes. It adds these candidates to an artifact-candidates file without changing the main agent instructions.

In plain words
What is it for?
Use it to record design rationale, rejected approaches, ownership notes, revisit conditions, and starting points in the task's planning artifacts.
Why use it?
It helps recover important context that may have been missed during a long implementation or debugging session before it is forgotten.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions AGENTS.md.

Good fit Use it to record design rationale, rejected approaches, ownership notes, revisit conditions, and starting points in the task's planning artifacts.

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Install with agentmods
npx agentmods add skills/siarhei-belavus/agent-public/extract-artifact-candidates
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 siarhei-belavus/agent-public --skill extract-artifact-candidates
Clone the repo
git clone --depth 1 https://github.com/siarhei-belavus/agent-public

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.

agentmods badge for extract-artifact-candidates

README.md
[![agentmods](https://agentmods.dev/badge/skills/siarhei-belavus/agent-public/extract-artifact-candidates/github.svg)](https://agentmods.dev/skills/siarhei-belavus/agent-public/extract-artifact-candidates)
Your own site
<a href="https://agentmods.dev/skills/siarhei-belavus/agent-public/extract-artifact-candidates"><img src="https://agentmods.dev/badge/skills/siarhei-belavus/agent-public/extract-artifact-candidates/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.

agentmods 80×15 button for extract-artifact-candidates

Your own site · 80×15
<a href="https://agentmods.dev/skills/siarhei-belavus/agent-public/extract-artifact-candidates"><img src="https://agentmods.dev/badge/skills/siarhei-belavus/agent-public/extract-artifact-candidates.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,250 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.01250
Opus 5 $0.00034 $0.00625
Sonnet 5 $0.00013 $0.00250
Haiku 4.5 $0.00007 $0.00125

Measured 11d ago against content hash a882b3ea39ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

extract-artifact-candidates 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 11d 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.

skills/atelier-workflow/extract-artifact-candidates/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

extract-artifact-candidates

Manual salvage pass.

Not a workflow gate. Not a replacement for distill-knowledge.

Run this at any point when the conversation may contain non-obvious rationale, hidden constraints, owner-boundary notes, rejected paths, revisit triggers, or start-here breadcrumbs that should be preserved as task-local candidates before they fade.

Read first

  • ../references/task-packet-contract.md
  • ../references/persistent-artifacts-contract.md
  • ../references/initiative-workflow-contract.md when harvesting from an initiative child packet
  • ../../references/communication-mode.md
  • relevant tracked AGENTS.md chain
  • applicable AGENTS.override.md only if local execution constraints matter
  • current task packet if one exists: INDEX.md, PLAN.md, AMENDMENTS.md, ARTIFACT_CANDIDATES.md

Scope

This skill owns:

  • manual history mining into ARTIFACT_CANDIDATES.md
  • backfilling candidates earlier phases forgot to record
  • compact INDEX.md note that a harvest occurred

It does not own:

  • writing tracked AGENTS.md
  • writing AGENTS.override.md
  • replacing distill-knowledge
  • changing PLAN.md, AMENDMENTS.md, or review verdicts
  • bootstrapping a brand-new task packet from scratch

Workflow

  1. Establish the target packet.
    • If one current .plans/<task>/ packet is already in play, use it.
    • If multiple plausible packets exist, stop and ask the human which packet to backfill.
    • If no packet exists, do not invent one silently. Report candidates in chat and recommend packet bootstrap via plan-task.
  2. Repair candidate-file drift only if a packet exists.
    • If ARTIFACT_CANDIDATES.md is missing, create the empty placeholder and note the repair in INDEX.md.
  3. Read current packet state before mining.
    • Avoid duplicating existing candidates.
    • Use PLAN.md and AMENDMENTS.md to align terminology, owner boundaries, and already-explicit decisions.
  4. Mine current history deliberately.
    • Start with the current visible conversation.
    • Use available history/context-log evidence to surface earlier user decisions, rejected approaches, hidden constraints, review dispositions, and carryover summaries.
    • Ignore tool spam, raw logs, and dead-end debugging unless they reveal a durable trap, a tempting rejected path, or a non-obvious constraint worth preserving.
  5. Triage with the candidate bar.
    • Keep only task-local residue that may matter later and is not already obvious from code/tests.
    • Prefer exact facts over softened paraphrase.
    • Good candidate classes:
      • non-obvious rationale
      • hidden constraints
      • owner-boundary clarifications
      • rejected tempting approaches / do not casually resurrect
      • revisit triggers
      • start-here navigation / first validation commands
      • repeated slop traps exposed by the chat
    • Reject:
      • implementation summaries
      • transient debugging noise
      • todo/checklist residue
      • behavior prose already obvious from code/tests
  6. Write compact candidates.
    • Append or merge into ARTIFACT_CANDIDATES.md.
    • Keep each candidate short, concrete, and attributable.
    • Include:
      • Type:
      • Why keep:
      • Candidate:
      • Source:
      • optional Related code: / Related packet refs:
    • If a prior candidate is duplicated or superseded, merge instead of stacking near-identical entries.
  7. Note the harvest in INDEX.md.
    • Add a short note with what was harvested or no_new_candidates.
  8. Hand off clearly.
    • Report what was added, what was intentionally skipped, and whether distill-knowledge should later revisit any item.

Read the full file on GitHub · 116 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. 11d ago First seen · 116 lines · 67 tokens per session scan A a882b3ea39ec

Subscribe to this mod's changes

extract-artifact-candidates is a skill published in the GitHub repository siarhei-belavus/agent-public (2 stars, last pushed 3mo ago), licensed MIT. It adds 67 tokens to every session and 1,250 once invoked, about $0.0003 per session on Opus 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.

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