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/christianb93/wikispec/wikispec-applynpx skills add christianb93/WikiSpec --skill wikispec-applygit clone --depth 1 https://github.com/christianb93/WikiSpecWrote 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/christianb93/wikispec/wikispec-apply)<a href="https://agentmods.dev/skills/christianb93/wikispec/wikispec-apply"><img src="https://agentmods.dev/badge/skills/christianb93/wikispec/wikispec-apply.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.00331 |
| Opus 5 | $0.00009 | $0.00166 |
| Sonnet 5 | $0.00004 | $0.00066 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
wikispec-apply 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 6d 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.
What it actually says
Skill: wikispec-apply
Drive the agent through the full apply step for a wikispec change. You will use the wikispec tool which is a binary in the path, no need to install anything.
Steps
-
Determine the change name.
- If the user provided a change name, use it exactly.
- If no name is provided use
wikispec listto list all active changes. If there is only one active change, assume that we will be working on this one, otherwise ask the user to pick a change from the list
-
Check whether apply step is runnable
- Use
wikispec status --change <change name>to get the status of the current change - Look at the output to validate that the
applystep is runnable# - If not, use the
waitingOnfield to determine the steps on whichapplyis waiting and ask the user to run the corresponding wikispec skill first
- Use
-
Follow instructions in a loop. Repeat until the step is complete:
wikispec instructions --change <name> --step apply- If the output contains instructions, follow them, then call the command again.
- If the output signals that the step is already complete, stop looping, inform the user that the apply step is done and propose to run
/wikispec-validatenext
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.
- 6d ago First seen · 29 lines · 18 tokens per session scan A d186be52b975
wikispec-apply is a skill published in the GitHub repository christianb93/WikiSpec (4 stars, last pushed 3mo ago), licensed MIT. It adds 18 tokens to every session and 331 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.
Other skills, from other repositories
file-headers
MANDATORY for every coding agent (Claude Code, Codex, or any other) on every change-set — every applicable source file the agent creates or updates MUST start with the project's copyright/authorship header (file overview + exact author line). Use automatically whenever writing a new file or editing an existing one; do…
productivity-score
Calculate a productivity score using actual Agent Monitor metrics — session completion rates, cache efficiency (cacheread vs input), compaction pressure (baseline tokens), turn velocity (turncount / totalturndurationms), tool success ratio (PreToolUse vs PostToolUse), and the workflow intelligence API's complexity and…
budget-set
Define a spend budget for Claude Code and, optionally, create a cost alert rule that fires when usage crosses the limit, via POST /api/alerts/rules on the Agent Monitor dashboard. Reads current spend from /api/pricing/cost to size the budget sensibly and explains every rule field before writing. Use when setting a…
dashboard-status
Quick dashboard health and status overview — checks the Agent Monitor API (port 4820), reports session/agent/event counts from /api/stats, confirms WebSocket connectivity, reads the redacted hook status returned by /api/settings/info, and shows data freshness (last event timestamp). Use to verify the monitoring system…
run-agent
Launch and supervise Claude Code or Codex through the CCAM Run API. Use when the user wants to start a monitored agent, select a model, approval policy, sandbox, or working directory, send a follow-up, inspect live output, resume a native session, or stop a dashboard-launched run.
remote-collection
Configure and troubleshoot CCAM Remote Data Sources that collect Claude Code and Codex history over SSH. Use when adding, editing, testing, syncing, or removing a remote machine, verifying provider paths, or deciding whether to retain or purge imported sessions.