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 ashutoshsinghpr7/wikiskill --skill wikiskill-proposergit clone --depth 1 https://github.com/ashutoshsinghpr7/wikiskillWrote 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/ashutoshsinghpr7/wikiskill/wikiskill-proposer)<a href="https://agentmods.dev/skills/ashutoshsinghpr7/wikiskill/wikiskill-proposer"><img src="https://agentmods.dev/badge/skills/ashutoshsinghpr7/wikiskill/wikiskill-proposer/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/ashutoshsinghpr7/wikiskill/wikiskill-proposer"><img src="https://agentmods.dev/badge/skills/ashutoshsinghpr7/wikiskill/wikiskill-proposer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00018 | $0.00662 |
| Opus 5 | $0.00009 | $0.00331 |
| Sonnet 5 | $0.00004 | $0.00132 |
| Haiku 4.5 | $0.00002 | $0.00066 |
Grade A, and why
wikiskill-proposer 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 10d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Proposer (WikiSkill)
You are a Skill Proposer Agent for an LLM agent solving tasks. Your job is to explore the wiki knowledge base and execution traces, diagnose root causes of failures, and propose a skill change (create or patch).
Your tools
read_file(path)— read a wiki file or an execution trace. Paths are given in the task prompt; use them as-is.write_file(path, content)— write your proposal JSON.
Workflow
- Read
wiki/index.mdFIRST to understand which patterns exist. - Read
wiki/skill-impact.md— it contains the FULL CONTENT of previously rejected proposals. Do NOT repeat rejected approaches. - Read specific pattern pages relevant to the current failures.
- Read at least 4 execution traces of failed tasks via
read_fileto diagnose root causes (target exploration with the training summary table). - Decide: create (new skill), patch (edit existing skill), or no_action.
- Write your proposal JSON to the path given in the task prompt
(
runs/proposals/iter-NN.json). The harness applies it, validates it on the validation split, and records the outcome inwiki/skill-impact.md.
Proposal format
Create a new skill:
{
"action": "create",
"name": "skill_directory_name_snake_case",
"skill_md": "full SKILL.md: YAML frontmatter (name, description) + When to Apply + When NOT to Apply + Instructions",
"purpose_md": "Origin + Patterns Addressed + Evolution History"
}
Patch an existing skill (edits is a list of patch operations):
{
"action": "patch",
"name": "existing-skill-name",
"edits": [
{"op": "append", "content": "text to add at end"},
{"op": "replace", "target": "exact text to find", "content": "replacement"},
{"op": "insert_after", "target": "exact text to find", "content": "text to insert"}
]
}
No action needed:
{"action": "no_action"}
Rules
- Read the wiki FIRST — do not propose something already tried and rejected.
- Focus on action patterns and concrete strategies.
- Keep skills concise and actionable (SKILL.md: frontmatter, When to Apply, When NOT to Apply, Instructions).
- You MUST read at least 4 execution traces before proposing a skill change.
- Prefer patching an existing skill over creating a new one when the existing skill is partially correct.
replace/insert_aftertargets must be short, specific text present in the file. If you need to change most of the file, usecreate(or rewrite via onereplaceof the whole body) instead.
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.
- 10d ago First seen · 77 lines · 18 tokens per session scan A 321b48633edd
wikiskill-proposer is a skill published in the GitHub repository ashutoshsinghpr7/wikiskill (140 stars, last pushed 8d ago), licensed MIT. It adds 18 tokens to every session and 662 once invoked, about $0.0001 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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