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 agentmods add skills/firstp1ck/pi-coding-agent-forge/wiki-toolsnpx skills add Firstp1ck/pi-coding-agent-forge --skill wiki-toolsgit clone --depth 1 https://github.com/Firstp1ck/pi-coding-agent-forgeWhat 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 | $0.00057 | $0.01343 |
| Opus 5 | $0.00028 | $0.00672 |
| Sonnet 5 | $0.00011 | $0.00269 |
| Haiku 4.5 | $0.00006 | $0.00134 |
Grade A, and why
wiki-tools 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 3d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wiki Tools
Use this skill to scaffold, tune, validate, and evaluate Pi local wiki extension packages.
Reference: generalized wiki quality improvements.
Quality target
Aim for 90-95/100 confidence before considering a generated wiki complete. Confidence must come from observed tool behavior against realistic prompts, not just successful file generation.
Score every generated wiki on:
- Accuracy: corpus path/file types/format are correct; titles/headings match source; top search results include canonical pages; extracts answer the prompt with valid local citations.
- Effectiveness: setup/status/missing-docs behavior is clear; prompt routing is specific; diagnostics and safety language fit the domain; workflow is repeatable.
- Token output: search/read/extract outputs are bounded; exact-section extracts are preferred for final answers; omitted/truncated output is visible.
If any category is below 90/100, keep tuning or explicitly document why confidence remains lower.
Required workflow
- Inspect available templates with
list_wiki_templatesor/wiki-templateswhen the template name is unclear. - Profile the corpus before or immediately after creation:
- canonical docs path
- repo/source URL
- source format:
markdown,asciidoc, orhtml - indexed file extensions
- include/partial/generated-page behavior
- broad corpus/domain terms that may need downweighting or stopwording
- domain query expansions and aliases
- Use
create_wikior/wiki-createfor new local wiki packages. Prefer/wiki-createfor interactive creation because it previews inferred values, confirms creation, validates, and can queue an agent tuning/review pass. - Tune generated package files before declaring success:
index.ts:CONFIG.format,CONFIG.fileExtensions, prompt detection, query expansions, stopwords/downweights, parser assumptions, cache/schema behavior.- For every created wiki, derive
CONFIG.searchStopwordsandCONFIG.termWeightsfrom that wiki's own corpus/profile and simulation results. Keep generic language stopwords minimal, downweight only broad domain terms that demonstrably over-rank noisy pages, and do not reuse another wiki's terms without evidence. skills/*/SKILL.md: precise source priority, compact search, search/sections/extract workflow, diagnostics, safety warnings, token discipline.README.mdandreferences/*: corpus profile, limitations, smoke-test findings, evaluation summary.
- Use
validate_wikior/wiki-validateafter creation or manual edits. - Run practical package checks when feasible:
npm install --package-lock-only --ignore-scripts npm pack --dry-run bun build index.ts --target=node --outfile=/tmp/<pkg>-index-check.js - Run the generated smoke-test command/tool when docs are available to check title, heading, and link fidelity.
- Evaluate with at least five realistic simulations across difficulty levels:
- novice setup question
- beginner configuration question
- intermediate troubleshooting/API question
- advanced system/architecture question
- expert edge case or developer workflow
- For each simulation, record top search results, selected page, section list size, extract size, matched sections, omitted/truncated state, and accuracy/effectiveness/token-output scores.
- Prefer this answer workflow for generated wiki skills:
search -> sections -> exact section extract -> final answer with local citation
Query extraction is useful for exploration but can over-select sections on large pages.
11. Use update_wiki or /wiki-update only when the user wants to refresh scaffolded files from the template. Avoid overwriting customized files unless explicitly requested or the dry-run shows safe changes.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago First seen · 100 lines · 57 tokens per session scan A 7ee16c206eb5
wiki-tools is a skill published in the GitHub repository Firstp1ck/pi-coding-agent-forge (74 stars, last pushed 3d ago), licensed MIT. It adds 57 tokens to every session and 1,343 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 2026-08-30.
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