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 plastic-labs/cursor-honcho --skill migrate-pygit clone --depth 1 https://github.com/plastic-labs/cursor-honchoWrote 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/plastic-labs/cursor-honcho/migrate-py)<a href="https://agentmods.dev/skills/plastic-labs/cursor-honcho/migrate-py"><img src="https://agentmods.dev/badge/skills/plastic-labs/cursor-honcho/migrate-py/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/plastic-labs/cursor-honcho/migrate-py"><img src="https://agentmods.dev/badge/skills/plastic-labs/cursor-honcho/migrate-py.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 | $0.00062 | $0.01684 |
| Opus 5.5 | $0.00025 | $0.00674 |
| Sonnet 5.5 | $0.00012 | $0.00337 |
| Haiku 4.5 | $0.00006 | $0.00168 |
Grade A, and why
migrate-py 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 2mo 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 — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Honcho Python SDK Migration (v1.6.0 → v2.0.0)
Overview
This skill migrates code from honcho Python SDK v1.6.0 to v2.0.0 (required for Honcho 3.0.0+).
Key breaking changes:
AsyncHoncho/AsyncPeer/AsyncSessionremoved → use.aioaccessor- "Observation" → "Conclusion" terminology
Representationclass removed (returnsstrnow)get_config/set_config→get_configuration/set_configuration- Streaming via
chat_stream()instead ofchat(stream=True) poll_deriver_status()removed.coreproperty removed
Quick Migration
1. Update async architecture
# Before
from honcho import AsyncHoncho, AsyncPeer, AsyncSession
async_client = AsyncHoncho()
peer = await async_client.peer("user-123")
response = await peer.chat("query")
# After
from honcho import Honcho
client = Honcho()
peer = await client.aio.peer("user-123")
response = await peer.aio.chat("query")
# Async iteration
async for p in client.aio.peers():
print(p.id)
2. Replace observations with conclusions
# Before
from honcho import Observation, ObservationScope, AsyncObservationScope
scope = peer.observations
scope = peer.observations_of("other-peer")
rep = scope.get_representation()
# After
from honcho import Conclusion, ConclusionScope, ConclusionScopeAio
scope = peer.conclusions
scope = peer.conclusions_of("other-peer")
rep = scope.representation() # Returns str
3. Update representation handling
# Before
from honcho import Representation, ExplicitObservation, DeductiveObservation
rep: Representation = peer.working_rep()
print(rep.explicit)
print(rep.deductive)
if rep.is_empty():
print("No observations")
# After
rep: str = peer.representation()
print(rep) # Just a string now
if not rep:
print("No conclusions")
4. Rename configuration methods
# Before
config = peer.get_config()
peer.set_config({"observe_me": False})
session.get_config()
client.get_config()
# After
from honcho.api_types import PeerConfig, SessionConfiguration, WorkspaceConfiguration
config = peer.get_configuration()
peer.set_configuration(PeerConfig(observe_me=False))
session.get_configuration()
client.get_configuration()
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.
- 2mo ago First seen · 280 lines · 62 tokens per session scan A 380d3e474960
migrate-py is a skill published in the GitHub repository plastic-labs/cursor-honcho (7 stars, last pushed 22d ago), licensed MIT. It adds 62 tokens to every session and 1,684 once invoked, about $0.0002 per session on Opus 5.5. 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.
migrate-py compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| migrate-pyplastic-labs/cursor-honcho | Skill | 7 | 22d ago | MIT | A | 62 | Claude Code, Cursor |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 57k | 2d ago | MIT | A | 44 | Claude Code |
| pennylaneK-Dense-AI/scientific-agent-skills | Skill | 57k | 2d ago | MIT | A | 74 | Claude Code |
| holoscan-install-wheelNVIDIA/skills | Skill | 3.9k | today | Apache-2.0 | A | 34 | Claude Code, Codex |
| python-engineering-guidelinesanywhere-labs/Agents-Anywhere | Skill | 3.3k | today | Apache-2.0 | A | 75 | Codex |
| future-self-liteTHU-MAIC/OpenMAIC | Skill | 43k | yesterday | MIT | A | 20 | Claude Code, Codex |
| rocm-kernelshuggingface/kernels | Skill | 787 | yesterday | Apache-2.0 | A | 93 | Claude Code |