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 chrono-meta/forge-harness --skill edit-manifestgit clone --depth 1 https://github.com/chrono-meta/forge-harnessWrote 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/chrono-meta/forge-harness/edit-manifest)<a href="https://agentmods.dev/skills/chrono-meta/forge-harness/edit-manifest"><img src="https://agentmods.dev/badge/skills/chrono-meta/forge-harness/edit-manifest/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/chrono-meta/forge-harness/edit-manifest"><img src="https://agentmods.dev/badge/skills/chrono-meta/forge-harness/edit-manifest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 6 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00076 | $0.03186 |
| Opus 5 | $0.00038 | $0.01593 |
| Sonnet 5 | $0.00015 | $0.00637 |
| Haiku 4.5 | $0.00008 | $0.00319 |
Grade A, and why
edit-manifest 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 — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
edit-manifest — Predict-Verify Loop for Harness Edits
Implements two mechanisms from frontier harness research, named as in their source papers (both terms are the papers' own — verified 2026-06-17 against arXiv full text):
- Change Manifest (AHE, arXiv:2604.25850): each edit attaches a manifest entry declaring a falsifiable predicted impact (expected fixes + at-risk regressions); the next round intersects it with observed task-level deltas to produce a per-edit verdict. (Paper: "the Evolve Agent produces a change manifest…".)
- Validation Gate (SkillOpt, arXiv:2605.23904): a candidate is accepted only when its selection-split score is strictly greater than the current selection score (ties rejected); rejected edits are kept in an epoch-local buffer, not silently discarded. (Paper: "validation gate" / "held-out gate".)
FH's regression_guard.sh catches backward regressions. edit-manifest closes the forward loop: did the edit actually improve what it claimed to improve?
Boundary vs. verify-bidirectional: verify-bidirectional is reactive — it updates the baseline when the user raises a counter-argument to an AI recommendation. edit-manifest is predictive — it records a forward prediction at edit time and verifies it against outcomes later, with no user counter-argument required. Different axes: one responds to challenge, the other tests a self-declared hypothesis.
Manifest File Location
tracks/_meta/edit_manifest.yaml
Single append-only file. Entries are never deleted — they accumulate as the harness's edit history and negative-feedback buffer.
Manifest Entry Format
- id: em-{YYYY-MM-DD}-{slug}
date: YYYY-MM-DD
file: plugins/fh-meta/skills/{skill}/SKILL.md # relative to repo root
edit_summary: "added 'trigger phrase X' to natural language triggers"
predicted_impact: "users entering via phrase X will increase — estimate +1 session/week"
predicted_measurable_by: "session start logs or user utterance pattern in next 2 sessions"
validation_status: pending # pending | verified | falsified | untestable
validation_type: judged # mechanical (grep/count/git) | judged (cited observation) | untestable
baseline_value: null # number, when a metric exists (mechanical)
measured_value: null # filled at VERIFY
delta: null # measured_value - baseline_value, or null
match_score: null # at VERIFY: 1.0 confirmed | 0.5 partial | 0.0 contradicted
verified_at: null
verification_note: null # one-line MEASURED outcome + cited evidence (never bare "seems better")
gate_decision: null # accepted | redefine | rejected
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 · 267 lines · 76 tokens per session scan A 8b5684607f79
edit-manifest is a skill published in the GitHub repository chrono-meta/forge-harness (14 stars, last pushed today), licensed MIT. It adds 76 tokens to every session and 3,186 once invoked, about $0.0004 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.
Other skills, from other repositories
taiyi-requirement
A requirements-analysis process that turns a proposed change into a REQUIREMENT.md document. It records user needs, acceptance checks, terminology, triggers, and dependencies, with different levels of detail for different project sizes.
taiyi-change
A TaiyiForge workflow stage for writing a change proposal in CHANGE.md, with checks for scope, risks, success criteria, and related project documents.
taiyi-integration
A project workflow skill for closing a TaiyiForge change and recording it in a CHANGELOG.md file. It checks review results, tests, and the state of the working tree before archiving the change.
taiyi-test
A project workflow skill for verifying an implementation and producing a TEST.md record. TDD means writing a failing test, implementing the change, and then making the test pass; this skill checks that process and other regression cases.
taiyi-ui-design
A design-planning guide for describing how an application's user interface should look and behave. It produces a UI-DESIGN.md document covering layouts, components, interactions, accessibility, and error states.
taiyi-compress
A workflow tool for shrinking large coding-agent conversations and work files into shorter context notes. It can also coordinate separate agents for parallel development and create handoff notes for continuing work in a new session.