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.
npx skills add siarhei-belavus/agent-public --skill extract-artifact-candidatesgit clone --depth 1 https://github.com/siarhei-belavus/agent-publicWrote 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.
[](https://agentmods.dev/skills/siarhei-belavus/agent-public/extract-artifact-candidates)<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.
<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>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 | $0.00067 | $0.01250 |
| Opus 5 | $0.00034 | $0.00625 |
| Sonnet 5 | $0.00013 | $0.00250 |
| Haiku 4.5 | $0.00007 | $0.00125 |
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.
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.mdwhen harvesting from an initiative child packet../../references/communication-mode.md- relevant tracked
AGENTS.mdchain - applicable
AGENTS.override.mdonly 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.mdnote 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
- 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.
- If one current
- Repair candidate-file drift only if a packet exists.
- If
ARTIFACT_CANDIDATES.mdis missing, create the empty placeholder and note the repair inINDEX.md.
- If
- Read current packet state before mining.
- Avoid duplicating existing candidates.
- Use
PLAN.mdandAMENDMENTS.mdto align terminology, owner boundaries, and already-explicit decisions.
- 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.
- 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
- 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.
- Append or merge into
- Note the harvest in
INDEX.md.- Add a short note with what was harvested or
no_new_candidates.
- Add a short note with what was harvested or
- Hand off clearly.
- Report what was added, what was intentionally skipped, and whether
distill-knowledgeshould later revisit any item.
- Report what was added, what was intentionally skipped, and whether
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.
- 11d ago First seen · 116 lines · 67 tokens per session scan A a882b3ea39ec
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.
Other skills, from other repositories
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.