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/benwu95/prospec/prospec-learnnpx skills add benwu95/prospec --skill prospec-learngit clone --depth 1 https://github.com/benwu95/prospecWrote 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/benwu95/prospec/prospec-learn)<a href="https://agentmods.dev/skills/benwu95/prospec/prospec-learn"><img src="https://agentmods.dev/badge/skills/benwu95/prospec/prospec-learn.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 | $0.00096 | $0.03548 |
| Opus 5 | $0.00048 | $0.01774 |
| Sonnet 5 | $0.00019 | $0.00710 |
| Haiku 4.5 | $0.00010 | $0.00355 |
Grade A, and why
prospec-learn 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prospec Learn Skill
Activation
When triggered, briefly describe:
- That you'll collect recurring lessons from archived changes' quality_log and review.md into a version-controlled lessons ledger (auto-fed at archive time)
- That promotion is decided by an explicit, reproducible rule (not a black-box heuristic) and every suggestion carries an auditable score
- That nothing reaches the team playbook or Constitution without explicit human approval and a version-controlled record
Language Policy
Write each generated document in the language the Constitution's Language Policy rule assigns to its path — change artifacts and their archived summaries in the project's artifact language, the trust zone (Knowledge base, Feature Specs, index) in English. One skill run may write both. Keep code, identifiers, technical terms, and git commit messages in English.
CLI Prerequisite (required)
The prospec CLI is a required file for this skill — its deterministic steps call
prospeccommands. Probe BEFORE any other step; there is no manual fallback.
- Run
prospec --version(Bash). - Command not found / not executable → STOP. Ask the user to install the prospec standalone
executable — the one-click installer script from the project README (macOS/Linux
install.sh, Windowsinstall.ps1) or a release binary from GitHub Releases; prospec is NOT published to npm. Then re-run this skill. - Version older than 1.0.0 → STOP. Report the installed vs required version and ask the user to upgrade, then re-run this skill.
Hand-executing a CLI-owned mutation is NEVER the fallback — that re-introduces the nondeterministic serialization this contract exists to remove.
Startup Loading
- [STABLE] MANDATORY — Read
references/promotion-format.mdfor the explicit promotion rule, the Generalizability Heuristic (what to capture), lessons-ledger format, playbook entry format, approval record, and TTL/conflict fields - [STABLE] Read
prospec/CONSTITUTION.md— the promotion target (Constitution rules) and the duplicate-check baseline - [DYNAMIC] Read
prospec/ai-knowledge/module-map.yaml— to compute each lesson's impact-module count - [DYNAMIC] Read the existing lessons ledger
prospec/ai-knowledge/_lessons-ledger.md(if present) — carry-forward anchor (version-controlled, survives worktrees) - [DYNAMIC] Read
prospec/ai-knowledge/_playbook.md(if present) in full — the Sweep's team-tier input and Promote's duplicate-check baseline. This is the one skill that reads the whole playbook; every other reader loads only the entries relevant to its change - [DYNAMIC] Read
.prospec.yamllearn.thresholds(promotion) andlearn.lens_thresholds(yield sweep) if set; otherwise use the reference defaults (the ledger itself isprospec/ai-knowledge/_lessons-ledger.md, not a config file)
What ships with it
2 files 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 · 141 lines · 96 tokens per session scan A 6e9526b30062
prospec-learn is a skill published in the GitHub repository benwu95/prospec (5 stars, last pushed 3d ago), licensed MIT. It adds 96 tokens to every session and 3,548 once invoked, about $0.0005 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
ospec-goal
Create or advance a full OSpec goal using the current document, task graph, worker, review, and evidence workflow.
ospec
Document-driven OSpec workflow for initialization, change/goal routing, validation, archiving, and durable project knowledge.
ospec-change
Create or advance a lightweight OSpec change using the classic fast workflow.
coding-tutor
Personalized coding tutorials that build on your existing knowledge and use your actual codebase for examples. Creates a persistent learning trail that compounds over time using the power of AI, spaced repetition and quizes.
gsd-extract-learnings
Extract decisions, lessons, patterns, and surprises from completed phase artifacts.
spec-kitty-orchestrator-api-operator
Teach agents and external systems how to use spec-kitty orchestrator-api to drive workflows from outside the host CLI. Triggers: "use orchestrator-api", "build a custom orchestrator", "automate externally", "integrate CI with spec-kitty", "call spec-kitty from another tool", "orchestrator contract", "external…